980 lines
220 KiB
HTML
980 lines
220 KiB
HTML
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<title>The possibility of linguistic level of neurological organization</title>
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<meta name="author" content="Amr Gharbeia">
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<p lang="en-US" class="western" align="left" style="margin-left: 1.27cm; margin-right: 2.54cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
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<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt"><font color="#993366"><font face="Verdana, sans-serif"><b>T<img src="data:image/png;base64,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" name="TtsOtkCRS08_09" align="right" hspace="5" width="325" height="33" border="0">he
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possibility of linguistic level of neurological organization. </b></font></font>In
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order to show the inevitability of spiritual animals in the course of
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evolution, however, it is necessary to show not only that language is
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functional and can control relevant conditions that were out of reach
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for animal societies, but also that language is possible. From its
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function, we can tell that language must involve some form of overt
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individual behavior that others can observe and that it must be able
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to reach deep into their brains and control their imagination. The
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overt linguistic behavior must be able, therefore, to convey what the
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speaker is imagining so that the perception of that behavior by
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others causes the same content to occur in their imaginations. The
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overt behavior must, in other words, be a representation of the
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content of imagination. </font></font></font>
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</p>
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<p lang="en-US" class="western" align="left" style="margin-left: 2.54cm; margin-right: 1.27cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
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<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt">As
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we have seen, however, such representations would have to be more
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complex than the signs used by other animals. Animals use cries and
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screams as signals to communicate with one another, and though they
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can be quite varied, they are inherently incapable of assigning tasks
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to members of a group. Their meanings and references depend on the
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context of their utterance, and that makes them useless in assigning
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different roles to individual members in a plan of social level
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behavior. In order for animals to use verbal behavior to share a plan
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that divides up tasks among them, it must be possible, in advance of
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acting and regardless of its context, to refer to particular members
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and describe how each is to behave at a later time so that every
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member can understand who is to behave how and in what situations. </font></font></font>
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</p>
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<p lang="en-US" class="western" align="left" style="margin-left: 2.54cm; margin-right: 1.27cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
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<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt">In
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order for cries and screams to distribute the same plan of social
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level behavior to all the members, they must become organized with a
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subject-predicate grammar. At least two elements must be combined in
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each linguistic act, for it must connect an individual member with a
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specific way of behaving without relying on the context to identify
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either element. Hominids could associate particular cries with
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different members or other objects and different ways of behaving or
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other properties, but such signs must be combined in a certain way to
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serve as representations of a plan for their behavior in some
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situation. This is the function of predication, that is, taking
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certain signs to represent the objects and other signs to modify them
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in some way. But little more than predication would be needed, since
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the listeners can retain one instruction after another in memory and
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combine them all as parts of a single representation of the plan, and
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a series of such instructions would give every member an
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understanding of the whole plan. But if they had the capacity to
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communicate verbally how they were combining signs as subjects and
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predicates at all, it would be possible to complicate such utterances
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so that they also indicate the other objects and individuals to which
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the behavior is supposed to be directed, where it is supposed to
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occur, when, under what conditions, and the like. </font></font></font>
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</p>
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<p lang="en-US" class="western" align="left" style="margin-left: 3.81cm; margin-right: 2.03cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
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<font color="#000000"><font face="Times New Roman, serif">The
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complexity of the behavioral schemata required for a primitive
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language can be estimated from the grammar of natural sentences in
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our own language. Even in sentences with a simple subject-predicate
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grammar, predicates are often themselves rather complex, with a verb
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and its objects to indicate how the action is directed at other
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objects in the world. (For example, if behavior is to be directed
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toward an object in space, the predicate will be a verb that takes a
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noun as its grammatical object, for example, “picking up <i>a
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certain ax</i>” or “going to <i>a certain location</i>”.) And
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complexity increases as these basic elements are modified by
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adjectives, adverbs, phrases and clauses, as would be needed to make
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clear what the individual is supposed to do. For example, “Pick up
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the <i>sharp</i> ax <i>carefully</i> and put in <i>where the tools
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are kept.</i>” </font></font>
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</p>
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<p lang="en-US" class="western" align="left" style="margin-left: 3.81cm; margin-right: 2.03cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
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<font color="#000000"><font face="Times New Roman, serif">Repeated
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and varied uses of the basic mechanism of predication within single
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utterances may explain how all these elements can be included in
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natural sentences, but only if there is some way for listeners to
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tell how the speaker is combining them, for listeners must be able to
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construct the same representation in their imagination as the
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speaker’s. There is an asymmetry about the grammatical subject and
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predicate, and not only must it be clear from what the speaker says
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which sounds are to be treated as subjects and which as predicates,
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but it must be clear in each of the other phrases, clauses and
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modifiers based on predication. In other words, the cries and screams
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must be made with grammatical markers indicating how their meanings
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are to be combined in the listener’s imagination. </font></font>
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</p>
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<p lang="en-US" class="western" align="left" style="margin-left: 1.27cm; margin-right: 2.54cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
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<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt"><font face="Verdana, sans-serif">T<img src="data:image/png;base64,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" name="TtsOtkCRS08_10" align="right" hspace="5" width="250" height="23" border="0">he
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linguistic system of representation. </font>Considering the enormous
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range of possible natural sentences in our language, even a primitive
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language, based on a simple subject-predicate grammar, may seem too
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complex to be tried out as a random variations during the evolution
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of hominid societies. Unless there is some simple way in which the
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capacity for grammar could be acquired, it will not be clear that the
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evolution of language is inevitable, and it will not be plausible to
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hold that the our capacity for language is the result of a long
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series of accidental selection pressures that would probably not
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occur on other planets. </font></font></font>
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</p>
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<p lang="en-US" class="western" align="left" style="margin-left: 2.54cm; margin-right: 1.27cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
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<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt">There
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is, however, a basically simple mechanism that could be tired out as
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a random variation on the primate brain, and it would account for
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such a primitive language. It is possible, because primates had
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evolved a faculty of imagination that included both spatial and
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structural imagination. The ability to use of language comes from the
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evolution of a linguistic system of representation.</font></font></font></p>
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<p lang="en-US" class="western" align="left" style="margin-left: 3.81cm; margin-right: 2.03cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
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<font color="#000000"><font face="Times New Roman, serif">The
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linguistic system of representation is different from the animal
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system of representation, because its representations can exist as
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public objects, that is, as sentences that are generated by overt
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verbal behavior. </font></font>
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</p>
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<p lang="en-US" class="western" align="left" style="margin-left: 3.81cm; margin-right: 2.03cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
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<font color="#000000"><font face="Times New Roman, serif">But such a
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linguistic system of representation is possible only because it is
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constructed out of parts supplied by the animal system of
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representation. The manipulative animal system of representation
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already has a faculty of imagination (both spatial and structural
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imagination), and the ability to speak and understand linguistic
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representations comes from a higher level of neurological
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organization within the faculty of imagination of the animal system
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of representation. (That is, linguistic behavioral schemata are on a
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higher level of organization than locomotor and manipulative
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behavioral schemata, and the images on which covert behavior operates
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in the sensory input system are <i>naturalistic images</i>, which are
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compounds of <i>local images </i>and <i>object images</i>)</font></font></p>
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<p lang="en-US" class="western" align="left" style="margin-left: 2.54cm; margin-right: 1.27cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
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<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt">This
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new mechanism in the faculty of imagination would account for the
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“deep grammar” of “universal grammar” that Chomsky identified
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beneath the surface grammar of all natural languages. Chomsky argued
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that the remarkable capacity of humans to learn a language, including
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the ability to generate an indefinitely large range of sentences
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permitted in it, is best explained by a genetically inherited
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capacity, could not be explained as a result of operant conditioning
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(as B. F. Skinner had insisted). The surface grammar of a natural
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language is, as we shall see, simply the conventions by which the
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speaker indicates the kinds of covert behavior he is using to
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construct some representation in his faculty of imagination so that
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the listener can construct the same representation in theirs. What is
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universal, in other words, is a faculty of naturalistic imagination. </font></font></font>
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</p>
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<p lang="en-US" class="western" align="left" style="margin-left: 3.81cm; margin-right: 2.03cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
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<font color="#000000"><font face="Times New Roman, serif">This
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explanation might also confirm a more controversial aspect of
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Chomsky’s position. Chomsky has puzzled many of his followers by
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expressing doubts about whether this genetically inherited capacity
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can be explained by Darwinian natural selection. What is bothering
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Chomsky may be the assumption of contemporary Darwinists that the
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details of this brain mechanism must be explained as an accumulation
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of traits a series of caused by a series of externally imposed
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special selection pressures. But it is not necessary to accept
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accidentalism to explain the evolution of language. The capacity for
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language could be another of the more revolutionary episodes in the
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course of evolution that are not recognized by contemporary
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Darwinists. If it is provided by a higher level of neurological
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organization, the advent of language would mark the beginning of a
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new evolutionary stage. Like all such radical random variations, it
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would start off simple, uniform and weak, and as a result of
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reproductive causation, the capacity for language would gradually
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become more complex, diverse and powerful. And as we shall see, one
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stage leads to another such revolutionary episode in which a yet
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higher level of neurological organization makes it possible to use
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psychological sentences and leads to reason. </font></font>
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</p>
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<p lang="en-US" class="western" align="left" style="margin-left: 2.54cm; margin-right: 1.27cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
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<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt">What
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makes it possible for something as simple as a higher level of
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neurological organization in the faculty of imagination to account
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for language is the way that imagination is a foundation for the kind
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of learning that has been explained as a contained form of
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reproductive causation that takes place during a late phase of
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embryological development. </font></font></font>
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</p>
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<p lang="en-US" class="western" align="left" style="margin-left: 3.81cm; margin-right: 2.03cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
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<font color="#000000"><font face="Times New Roman, serif">The trait
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that needs to be explained, as Chomsky insisted, is the remarkable
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capacity of individuals to learn natural languages of vastly
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different kinds, and that is explained as the evolution of behavioral
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schemata for generating covert linguistic behavior within the faculty
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of imagination in each individual brain by a form of natural
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selection that depends on reinforcement. (Skinner was not entirely
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wrong to think that operant conditioning was involved.) </font></font>
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</p>
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<p lang="en-US" class="western" align="left" style="margin-left: 3.81cm; margin-right: 2.03cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
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<font color="#000000"><font face="Times New Roman, serif">The higher
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level of part-whole complexity in covert behavior marks them a
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linguistic schemata. But just as neurological development
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internalized spatial causation as spatial imagination and structural
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causation as structural imagination, so this contained form of
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reproductive causation internalizes the natural language used by the
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spiritual animal in the developing brains of its new members. </font></font>
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</p>
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<p lang="en-US" class="western" align="left" style="margin-left: 3.81cm; margin-right: 2.03cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
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<font color="#000000"><font face="Times New Roman, serif">And as a
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byproduct, it gives language users a faculty of naturalistic
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imagination by which they can think about state of affairs in the
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natural world and understand efficient cause explanations. That is,
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they can see states of objects in space against the background of
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what is possible by efficient causation, either their possible causes
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or possible effects.</font></font></p>
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<p lang="en-US" class="western" align="left" style="margin-left: 1.27cm; margin-right: 2.54cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
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<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt"><i><b>Verbal
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and nonverbal sides of linguistic representations. </b></i>The basic
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social function of language is to represent in public behavior a
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certain kind of image that is constructed privately in each faculty
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of imagination. The (potentially) public part of linguistic behavior
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will be called “verbal behavior,” the words and sentences that
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can be spoken. But since the images in imagination are a form of
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representation based on the animal system of representation, the
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verbal behavior involved is actually just a <i>re-representation</i>
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of some kind of higher level animal representation. </font></font></font>
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</p>
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<p lang="en-US" class="western" align="left" style="margin-left: 3.81cm; margin-right: 2.03cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
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<font color="#000000"><font face="Times New Roman, serif">The
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linguistic representation has, therefore, both a verbal and a
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nonverbal side. To show how it is possible for the verbal side, that
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is, overt verbal behavior, to represent the nonverbal side (or
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nonverbal covert linguistic behavior and the <i>naturalistic images
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</i>on which it operates as a higher level animal representation), I
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will consider how <i>naturalistic images</i> can be constructed in
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the faculty of imagination and then show how the nonverbal covert
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linguistic behavior involved in doing so can be represented publicly
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in overt verbal behavior. I will begin by focusing on how language is
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handled in the brain of the speaker and then expand on how it works
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in the brains of listeners who can understand overt verbal behavior.</font></font></p>
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<p lang="en-US" class="western" align="left" style="margin-left: 2.54cm; margin-right: 1.27cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
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<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt">Let
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us assume that the mouth and larynx are able to form the broad range
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of sounds needed for language, though that capacity is undoubtedly
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among the traits that evolved gradually during the primitive
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spiritual stage. We can also assume that hominids had the capacity to
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associate specific (complex) sounds with particular local scenes,
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particular objects in space, kinds of objects, and ways of behaving
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as their meanings, since this is a capacity that chimps have. Though
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that is not enough to explain how words and meanings are connected in
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the linguistic brain, it does allow us to see how language could
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evolve in the primate brain. It means that hominids could call up
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appropriate images in imagination when they heard certain sounds, or
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make those sounds when the images occurred to them.</font></font></font></p>
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<p lang="en-US" class="western" align="left" style="margin-left: 2.54cm; margin-right: 1.27cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
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<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt">The
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basic mechanism that needs to be explained is the subject-predicate
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grammar of verbal behavior, and its function can be explained by the
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meaning that is supposed to be conveyed by it. That meaning is the
|
||
nonverbal side of the linguistic representation, and since it is a
|
||
higher level <i>naturalistic image </i>that can be constructed in the
|
||
erstwhile primate faculty of imagination, let us begin by recalling
|
||
what is involved in spatial and structural imagination. </font></font></font>
|
||
</p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 3.81cm; margin-right: 2.03cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif"><i>Local
|
||
images </i>are the telesensory images combined (according to input
|
||
about the bodily condition) as a representation of the local scene
|
||
relative to the animal’s body. Spatial imagination is the capacity
|
||
to understand the effects of motion on the relations of objects in
|
||
the territory by calling up sequences of <i>local images </i>by
|
||
covert locomotion as well as the effects of motion in the local scene
|
||
by calling up changes in the telesensory images of which it is
|
||
composed. Thus, if words (as distinctive sounds) can be associated
|
||
with such images at all, they can refer to (and re-identify)
|
||
particular locations by way of local images and to particular objects
|
||
in space by way of telesensory images in the local images. They can
|
||
also refer to kinds of objects, or properties, insofar as those kinds
|
||
can be recognized by telesensory images, including ways in which
|
||
bodies behave. And they can refer to spatial relations among objects
|
||
by way of the understanding of the structure of space through spatial
|
||
imagination. </font></font>
|
||
</p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 3.81cm; margin-right: 2.03cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif">Because of
|
||
structural imagination, however, objects in a local scene can also be
|
||
represented by <i>object images,</i> which are sequences of
|
||
telesensory images that can be called up from memory by covert
|
||
manipulation that represent what happens to the object when it is
|
||
manipulated in various ways. Object images can also be the meanings
|
||
represented by words, enabling the words to refer not only to
|
||
particular objects, but also to kinds of objects.</font></font></p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 2.54cm; margin-right: 1.27cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt">Suppose
|
||
the leader devising a plan of social level behavior wanted some
|
||
members to chase deer into a ravine and other members to roll rocks
|
||
down on them as the deer ran by. He would think about members of the
|
||
first group by calling up <i>object images </i>of them in his
|
||
imagination by covert behavior, connecting those images with the
|
||
(perceived or imagined) <i>local image </i>to represent them as being
|
||
located in the field outside the ravine where deer are grazing. He
|
||
would then call up another <i>object image</i>, this time of bodies
|
||
running and yelling, and his covert linguistic manipulation would
|
||
combine this second <i>object image </i>with <i>object images </i>of
|
||
the members in the field, orienting their running and yelling in
|
||
certain directions relative to the deer. Such combinations of <i>local
|
||
images </i>and <i>object images </i>would create <i>naturalistic
|
||
images</i>, or representations of objects in space as being related,
|
||
moving or interacting with one another in such ways. The structure of
|
||
imagination together with memory would supply sequences of images
|
||
representing the changes that can occur, given the naturalistic
|
||
states being picked out, and thus, the leader would, for example,
|
||
have images of deer locomotion in response to the images of
|
||
disturbances being caused. He could anticipate where the deer would
|
||
run, and so on, allowing him to see what would happen as a means to
|
||
his goal. </font></font></font>
|
||
</p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 2.54cm; margin-right: 1.27cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt">It
|
||
is, however, one thing to think a plan and another to communicate it,
|
||
and the latter requires the leader’s verbal behavior to enable
|
||
others to construct the same plan in their imaginations. Even if the
|
||
leader had words associated with the <i>local images</i> and with the
|
||
<i>object images </i>of the members, the deer, and the behavior of
|
||
chasing, that would not suffice to represent the animal
|
||
representation he has constructed by his nonverbal (covert) behavior,
|
||
for the listener must combine the meanings called up from memory by
|
||
each word in the same way and there would be no way to tell how to do
|
||
that. </font></font></font>
|
||
</p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 3.81cm; margin-right: 2.03cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif">References
|
||
to the field in the local scene and the particular deer could,
|
||
perhaps, be conveyed by pointing to them and using such words as
|
||
“deer” and “field”, because pointing is public behavior and
|
||
that would enable listeners to could construct representations of
|
||
those objects in the local scene as objects of such kinds. But the
|
||
leader could not communicate his plan for social level behavior
|
||
unless his verbal behavior could control their imaginations so that
|
||
they combined object images of the members being assigned the task
|
||
with object images of the task being assigned to them. That is the
|
||
function of grammar. </font></font>
|
||
</p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 2.54cm; margin-right: 1.27cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt">If
|
||
there were a mechanism that would make the leader utter the words in
|
||
a way that indicated which meanings were to be treated as grammatical
|
||
subjects and which were to be treated as predicates, the listeners
|
||
would be able to combine their own <i>object </i>and <i>local images
|
||
</i>in the correct way. They would call up <i>local images </i>for
|
||
the words referring to locations and an <i>object image </i>for each
|
||
member named, and they would combine those <i>object images </i>with
|
||
images for the kinds of behavior named, so that the listeners would
|
||
also have a <i>naturalistic image </i>representing each member as
|
||
behaving in a certain way. </font></font></font>
|
||
</p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 3.81cm; margin-right: 2.03cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif">In this
|
||
case, however, at least three object images would be involved each
|
||
<i>naturalistic image</i>, because members are supposed to chase the
|
||
deer. Two of the object images would be treated grammatically as
|
||
subjects of predication (the member and the deer) and one object
|
||
image treated as a predicate (the relation of chasing), and all three
|
||
would be combined in a certain order (together with <i>local images
|
||
</i>for any references to locations) as a single <i>naturalistic
|
||
image</i>.</font></font></p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 1.27cm; margin-right: 2.54cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt"><i><b>Speaking:
|
||
nonverbal behavior determining verbal behavior.</b></i> The nonverbal
|
||
(always covert) part of linguistic behavior — combining image with
|
||
another as a <i>naturalistic image </i>of some state of objects in
|
||
space (or event involving them) — may require some special
|
||
mechanisms to handle the grammatical subject differently from the
|
||
predicate, but it surely requires only a minor modification of
|
||
primate imagination. Chimps that learn to associate words with
|
||
certain kinds of objects spontaneously combine different words for
|
||
the same object as a single new word, and thus, it is just a matter
|
||
of evolving a behavioral schema that keeps the covert locomotion and
|
||
manipulations straight. The key to the use of language is, therefore,
|
||
the mechanism that makes the verbal side of linguistic behavior
|
||
indicate how the images associated with the words are to be combined
|
||
as a <i>naturalistic image</i> representing some naturalistic state
|
||
of affairs.</font></font></font></p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 2.54cm; margin-right: 1.27cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt">Such
|
||
naturalistic images are already a higher level of neurological
|
||
organization on the nonverbal side of linguistic behavior, because it
|
||
is a new way of “manipulating” object images. Instead of covert
|
||
manipulations that call up sequences of telesensory images
|
||
representing the effects of rotating the object, bending it, or
|
||
putting objects with different geometrical structures together,
|
||
covert linguistic manipulation combines different images as
|
||
representations of the same object in the local image at the same
|
||
time. </font></font></font>
|
||
</p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 3.81cm; margin-right: 2.03cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif">The
|
||
nonverbal side of linguistic behavior may start with one object image
|
||
for the object in the scene (the grammatical subject) and superimpose
|
||
another object image (for a kind of object or way of behaving) on the
|
||
same object in the scene. The result would depend on the object
|
||
images, but since both meanings are various sequences of telesensory
|
||
images, it would involve a sequence of telesensory images that
|
||
depends on some sequence of images from both meanings. That sequence
|
||
of images would be a naturalistic image, the potential meaning of a
|
||
sentence or what is called a “naturalistic proposition.” </font></font>
|
||
</p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 3.81cm; margin-right: 2.03cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif">The
|
||
naturalistic image could then be used as the grammatical subject to
|
||
which further object images are added in a similar way (compounding
|
||
predication within a sentence), or it could be joined in the local
|
||
image by object images representing other objects in the local scene
|
||
(conjoining different sentences as a description of the scene). </font></font>
|
||
</p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 2.54cm; margin-right: 1.27cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt">Such
|
||
nonverbal covert behavior would require linguistic behavioral
|
||
schemata with a higher level of part-whole complexity, but that is
|
||
not all that is required by this higher level of neurological
|
||
organization, because verbal behavior must also represent how the
|
||
object images are to be combined. That is, verbal behavior must
|
||
indicate two things at once, both the images involved and how they
|
||
are to be combined as naturalistic images. Words for all the images
|
||
involved must be uttered as part of a single speech act, called a
|
||
sentence, and the kind of covert manipulation involved must modify
|
||
the words in some distinctive way, by their order, inflection,
|
||
prefixes, suffixes, or the like in the sentence. </font></font></font>
|
||
</p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 3.81cm; margin-right: 2.03cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif">The
|
||
capacity to generate verbal behavior of this kind requires a new
|
||
brain mechanism that does two things: it must connect each image (or
|
||
“meaning”) involved in the nonverbal linguistic act with its
|
||
name, and it must register which images are subjects and which are
|
||
predicates in its construction of the naturalistic image(s) (or
|
||
“meaning of sentence’). The output of such a center would be able
|
||
to determine motor commands for verbal behavior that would indicate
|
||
both aspects of the nonverbal side of the linguistic act. </font></font>
|
||
</p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 1.27cm; margin-right: 2.54cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt"><i><b>Understanding:
|
||
verbal behavior determining (effects of) nonverbal behavior.</b></i>
|
||
Linguistic interaction requires listeners who can understand the
|
||
verbal behavior in the sense of constructing the same naturalistic
|
||
images in their own faculties of imagination. This would require the
|
||
new neural mechanism for verbal behavior to work in reverse. That is,
|
||
instead of using input about the images and covert manipulation of
|
||
them to generate verbal behavior for words with grammatical markers,
|
||
it would have to use telesensory input of words and grammatical
|
||
markers uttered by other to call up the images and combine them in
|
||
imagination in the indicated way. That would be to construct the
|
||
speaker’s naturalistic image, or proposition, in the listener’s
|
||
faculty of imagination. </font></font></font>
|
||
</p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 1.27cm; margin-right: 2.54cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt"><font face="Verdana, sans-serif">T<img src="data:image/png;base64,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" name="TtsOtkCRS08_11" align="right" hspace="5" width="250" height="24" border="0">he
|
||
structure of the linguistic brain.</font> The evolution of the use of
|
||
language involves changes that are located in only one of the two
|
||
hemispheres of the forebrain. It is usually the right hemisphere that
|
||
continues to serve spatial and structural imagination, which means
|
||
that bodily behavior, including locomotion and manipulation, can
|
||
continue to be generated with at least as much skill as primates. The
|
||
left hemisphere evolves a higher level of neurological organization
|
||
which is dedicated to linguistic behavior, both the verbal and
|
||
nonverbal sides. Nonverbal linguistic behavior is a form of covert
|
||
behavior that manipulates multiple local and object images to
|
||
construct naturalistic images. They are the meanings of natural
|
||
sentences, and there are special mechanisms in the left hemisphere
|
||
for representing this nonverbal behavior verbally (labeled
|
||
“Wernicke’s area” and “Broca’s area” in the functional
|
||
diagram of the linguistic animal behavior guidance system). How this
|
||
higher level is related to spatial and structural imagination is
|
||
suggested by the functional diagram of subsystems in the linguistic
|
||
animal behavior guidance system. </font></font></font>
|
||
</p>
|
||
<img 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" name="Image1" align="left" width="535" height="370" border="0"><br clear="left">
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 2.54cm; margin-right: 1.27cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt"><span lang="en-US">This
|
||
diagram suppresses the arrows between the sensory input and
|
||
behavioral output systems representing the basic connections that
|
||
stem from the telesensory animal behavior guidance system (</span></font></font><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt"><span lang="en-US"><i>perception</i></span></font></font><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt"><span lang="en-US">
|
||
and </span></font></font><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt"><span lang="en-US"><i>the
|
||
input to the local image about the current bodily condition</i></span></font></font><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt"><span lang="en-US">).
|
||
They are crucial to the mechanism for speaking sentences and hearing
|
||
them as sounds, but they are not crucial to generating linguistic
|
||
acts or understanding their meanings.</span></font></font></font></p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 2.54cm; margin-right: 1.27cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt">The
|
||
higher level of neurological organization that constitutes
|
||
naturalistic imagination occurs in both the behavioral output system
|
||
and the sensory input system, repeating the kinds of changes that
|
||
occurred in the evolution of structural from spatial imagination. But
|
||
in this case, the new structure does not occur within the <i>local
|
||
image</i>. Nor does it occur within the object image. It is, rather,
|
||
a structure that includes both of them as parts, namely, the
|
||
naturalistic image, which is the meaning of the natural sentence.
|
||
(See the functional diagram of the linguistic animal behavior
|
||
guidance system.) </font></font></font>
|
||
</p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 3.81cm; margin-right: 2.03cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif">In the
|
||
behavioral output system, the higher level of organization is a kind
|
||
of behavioral schemata used by the behavior generator that can
|
||
linguistically manipulate images of all kind, including both local
|
||
images and object images, in order to construct a compound
|
||
representation in the sensory input system, the naturalistic image.</font></font></p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 3.81cm; margin-right: 2.03cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif">The
|
||
naturalistic image is located in the sensory input system (mainly in
|
||
a region of the inferior parietal lobe). The covert nonverbal
|
||
linguistic behavior acts on this region in the same way as spatial
|
||
and structural imagination (by way of the projection from the
|
||
anterior to the posterior cingulate gyrus and the latter’s
|
||
connections with the adjoining areas of non-cingulate neocortex).</font></font></p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 3.81cm; margin-right: 2.03cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif">Once again,
|
||
the linguistic behavioral schemata used by the behavior guidance
|
||
system are actually structure contained in the frontal neocortex, and
|
||
it has access to them by way of a complete circuit (through the
|
||
neocortex, corpus striatum and ventral anterior thalamus) which is
|
||
not depicted in this diagram. This is at least one place where the
|
||
structures internalized by the evolution of behavior schemata by
|
||
reinforcement selection are contained. </font></font>
|
||
</p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 1.27cm; margin-right: 2.54cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt">From
|
||
the function of language and the nature of the primate faculty of
|
||
imagination, we have inferred the brain systems that are required for
|
||
the kind of linguistic act that would enable a leader to distribute a
|
||
plan of social level behavior to the members of a nomadic band. In
|
||
addition to the higher level of neurological organization in the
|
||
faculty of imagination, which make it possible for linguistic
|
||
behavioral schemata to manipulate images of various kinds as the
|
||
meanings of words used in constructing the meanings of natural
|
||
sentences, the use of language requires changes in the nervous system
|
||
set up by embryological development in order to generate the verbal
|
||
side of linguistic acts and to recognize their meanings from
|
||
telesensory images of another’s verbal behavior. They are the
|
||
regions of the neocortex called Wernicke’s area and Broca’s area
|
||
in the linguistic hemisphere of the brain. </font></font></font>
|
||
</p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 3.81cm; margin-right: 2.03cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif">Wernicke’s
|
||
area has two different functions, translating the verbal behavior of
|
||
other speakers that is registered as telesensory input into the
|
||
naturalistic images that are their meanings, and translating the
|
||
naturalistic images constructed by the speaker’s nonverbal
|
||
linguistic behavior into words and grammatical markers so that they
|
||
can be generated as the verbal side of linguistic behavior.</font></font></p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 3.81cm; margin-right: 2.03cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif">There is a
|
||
major connection between Wernicke’s and Broca’s areas not
|
||
represented in this functional diagram by which Wernicke’s area
|
||
identifies the words and grammatical markers to be generated so that
|
||
Broca’s area can, as part of the complete linguistic act, generate
|
||
the motor commands for speaking the natural sentence.</font></font></p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 1.27cm; margin-right: 2.54cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt">The
|
||
connections between Wernicke’s and Broca’s areas, as well as
|
||
between them and the faculty of naturalistic imagination, can be seen
|
||
better in the diagram of the linguistic brain. This diagram is
|
||
looking down on the two hemispheres of the brain, with the linguistic
|
||
mechanisms located in the left brain. The blue lines depict the
|
||
causal connections involved in speaking, whereas the red lines in the
|
||
left hemisphere depict the causal connections involved in listening
|
||
and understanding sentences spoken by others.</font></font></font></p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 2.54cm; margin-right: 1.27cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt">Wernicke’s
|
||
and Broca’s areas in the left hemisphere are known to play a
|
||
central role in language, and the roles they have, as indicated by
|
||
the effects of damage to each, suggest that they work together to
|
||
serve the function required by this explanation of how language is
|
||
possible. The verbal aspects of linguistic behavior are handled by
|
||
Wernicke’s and Broca’s areas of the left (linguistic) hemisphere.
|
||
</font></font></font>
|
||
</p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 3.81cm; margin-right: 2.03cm; text-indent: -2.86cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><img 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" name="LingBrain" align="bottom" width="589" height="540" border="0"></font></p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 3.81cm; margin-right: 2.03cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif">Wernicke’s
|
||
area is located in a posterior region of the superior temporal
|
||
neocortex, and damage to this area is known to make patients unable
|
||
to connect words and their meanings. Given the meanings (or object
|
||
images), such patients cannot call up their names, and given the
|
||
words, they cannot identify their meanings.</font></font></p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 3.81cm; margin-right: 2.03cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif">Broca’s
|
||
area is located in the frontal neocortex just anterior to the motor
|
||
neocortex sending motor commands to the mouth, larynx, tongue, and
|
||
lips, and damage to Broca’s area is known to make patients unable
|
||
to arrange words with their grammatical markers as well formed
|
||
sentences, though they continue to be able to understand sentences
|
||
and suffer only limited loss of ability to produce the words for
|
||
object images (meanings). </font></font>
|
||
</p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 3.81cm; margin-right: 2.03cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif">These two
|
||
areas are connected by the arcuate fasciculus, a large bundle of
|
||
association fibers that also connections the inferior parietal
|
||
neocortex to the frontal cortex. It apparently transfers information
|
||
from Wernicke’s area to Broca’s area, because the effect of
|
||
cutting it is basically the same as damage to Broca’s area. </font></font>
|
||
</p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 1.27cm; margin-right: 2.54cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt"><i><b>Speaking.</b></i>
|
||
Wernicke’s area has the function of connecting the verbal and
|
||
nonverbal sides of linguistic acts. The speech act is generated by a
|
||
linguistic behavioral schema in the frontal neocortex (as part of the
|
||
behavior generator). It generates covert nonverbal manipulation in
|
||
the anterior cingulate gyrus, and (by way of its projection to the
|
||
posterior cingulate gyrus and the latter’s connections with the
|
||
inferior parietal area), it constructs a naturalistic image in the
|
||
sensory input system. The inferior parietal area, where the
|
||
naturalistic image is constructed, has two way connections with
|
||
Wernicke’s area, and so it can informs Wernicke’s area about how
|
||
the naturalistic image is being constructed in naturalistic
|
||
imagination. Wernicke’s area not only connects the various images
|
||
with their names, but also registers how the words are being related
|
||
to one another as grammatical subjects and predicates in each
|
||
naturalistic image. Wernicke’s projection to Broca’s area
|
||
provides all the information needed to generate the motor commands
|
||
for verbal behavior, using the words with proper grammatical markers.
|
||
The projection from Broca’s area to the part of the overt body
|
||
image sending motor commands to the mouth, etc., would enable it to
|
||
generate overt verbal behavior directly. Verbal behavior is,
|
||
therefore, a result of an act of nonverbal imagination, though the
|
||
behavior generator (with its linguistic schemata) in the frontal
|
||
cortex could help Broca’s determine the actual surface grammar used
|
||
in verbal behavior, when there are alternative ways of marking the
|
||
words grammatically.</font></font></font></p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 1.27cm; margin-right: 2.54cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt"><i><b>Understanding.</b></i>
|
||
Wernicke’s area also connects the verbal and nonverbal sides of the
|
||
linguistic act in the listener’s brain. The location of Wernicke’s
|
||
area next to the auditory analysis region of neocortex in the
|
||
superior temporal lobe makes it easy to receive input about which
|
||
words and which grammatical markers are identified in the auditory
|
||
telesensory images caused by another speaker’s verbal behavior, and
|
||
thus, with its two way connections to the inferior parietal
|
||
neocortex, Wernicke’s area plays the role of the posterior
|
||
cingulate gyrus in constructing the naturalistic image. That is, it
|
||
acts as covert nonverbal behavior, except that it is reaching into
|
||
the brain to control imagination by way of the public linguistic
|
||
interaction. The meaning of the sentence is the naturalistic image,
|
||
which is projected to the behavioral output system (by way of the
|
||
caudate nucleus, globus pallidus, and the ventral anterior nucleus of
|
||
the thalamus), so that it becomes part of the local scene in which
|
||
the subject responds. </font></font></font>
|
||
</p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 3.81cm; margin-right: 2.03cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif">Since
|
||
Broca’s area is not involved in understanding the meaning of a
|
||
sentence (the proposition), that would explain why damage to Broca’s
|
||
area does not affect language comprehension. The ability of such
|
||
patients to name objects (that is, to generate the right word in for
|
||
each object) is affected, but not completely impaired by damage to
|
||
Broca’s area. On this account, naming could be explained as
|
||
repeating sounds heard in auditory imagination. Wernicke’s area
|
||
would still connect the image and with the word, and so a reverse
|
||
connection back to the auditory area would provide a telesensory
|
||
image of the spoken word, enabling the patient to repeat the word
|
||
without any help from Broca’s area.. </font></font>
|
||
</p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 3.81cm; margin-right: 2.03cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif">Understanding
|
||
a sentence heard would not require any covert nonverbal manipulation.
|
||
(But it would be possible for the listener to reconstruct the
|
||
naturalistic image in his imagination by repeating the sentence to
|
||
himself, since the behavioral schema for the nonverbal manipulation
|
||
to generate the sentence would probably be connected in memory with
|
||
the verbal behavior in speaking it.)</font></font></p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 2.54cm; margin-right: 1.27cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt">Though
|
||
understanding linguistic representations does not necessarily involve
|
||
any covert nonverbal manipulation, language learning still depends on
|
||
acquiring linguistic behavior schemata for speaking, including covert
|
||
nonverbal manipulation, because the connections in Wernicke’s area
|
||
between object images and words and between linguistic manipulations
|
||
of them and grammatical markers are acquired as part of those
|
||
linguistic behavior schemata (along with the capacity to generate the
|
||
right motor commands for the verbal side of the speech act). Without
|
||
learning to speak, memory might not even contain the images that are
|
||
to be combined in the naturalistic image. </font></font></font>
|
||
</p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 2.54cm; margin-right: 1.27cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt">Understanding
|
||
sentences would require additional learning, because Wernicke’s
|
||
area must be able to use telesensory images of the words and
|
||
grammatical markers used by others to call up the images and control
|
||
how they are combined in the naturalistic image. However, such
|
||
learning would be all but automatic, because in learning to generate
|
||
the verbal behavior, one also hears it, and two way connections
|
||
between Wernicke’s area and the local and object images would be
|
||
established by the memory circuit.</font></font></font></p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 1.27cm; margin-right: 2.54cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt">The
|
||
higher level of neurological organization required for language does
|
||
not come, therefore, from the bilateral specialization of the two
|
||
hemispheres of the brain. The higher level occurs in only one
|
||
hemisphere of the brain. The higher level is the higher level of
|
||
behavior schemata required for linguistic manipulations of object
|
||
images and the higher level of organization in the naturalistic image
|
||
itself, though perhaps the addition of Wernicke’s and Broca’s
|
||
area for representing such covert nonverbal linguistic behavior as
|
||
verbal behavior might also be considered evidence of a higher level
|
||
of organization.</font></font></font></p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 2.54cm; margin-right: 1.27cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt">The
|
||
specialization of one hemisphere for language has other functions. It
|
||
leaves one hemisphere of the brain unencumbered with the mechanisms
|
||
required for speaking. That also makes it easier for animals to talk
|
||
and do other things at the same time, even though both activities
|
||
require the involvement of imagination. </font></font></font>
|
||
</p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 2.54cm; margin-right: 1.27cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt">Furthermore,
|
||
special desires must be attached to linguistic representations in
|
||
order for the desire to submit to a leader to cause member to do what
|
||
is described by the leader’s verbal behavior. Thus, if those
|
||
desires affected the goal selection of the linguistic hemisphere,
|
||
behavioral schemata for such social behavior could evolve in that
|
||
hemisphere, while behavioral schemata for satisfying other desires
|
||
could continue to evolve in the other hemisphere. This requires, of
|
||
course, that the linguistic hemisphere be the dominant hemisphere,
|
||
for otherwise the use of language could not reliable control
|
||
behavior.</font></font></font></p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 1.27cm; margin-right: 2.54cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt">There
|
||
are, of course, many details about how neural connections are made in
|
||
order to serve these general functions, but this evidence about the
|
||
structure of the human brain is sufficient for our purposes. I have
|
||
described a kind of higher level of organization in brain mechanisms
|
||
that would give primates the use of a primitive language of natural
|
||
sentences, and since it is within the range of random variations
|
||
tried out by hominid brains, I conclude that the evolution of
|
||
language using primates is inevitable. As we expect from this
|
||
ontological argument, there are such mechanisms in human brains.
|
||
Learning a natural language can be explained as a contained form of
|
||
reproductive causation, that is, a neurological development in which
|
||
linguistic behavioral schemata evolve by reinforcement selection
|
||
toward maximum holist power, controlling relevant conditions in all
|
||
the situations where linguistic interaction are useful at all. </font></font></font>
|
||
</p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 1.27cm; margin-right: 2.54cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt"><font face="Verdana, sans-serif">N<img src="data:image/png;base64,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" name="TtsOtkCRS08_12" align="right" hspace="5" width="250" height="23" border="0">aturalistic
|
||
imagination.</font> With the evolution of the capacity to use natural
|
||
sentences, subjective animal evolve a faculty of naturalistic
|
||
imagination, and like each earlier stage in the evolution of
|
||
imagination, it gives the animal the conception of something in the
|
||
world that it could not previously think about explicitly. It is the
|
||
conception of a state of affairs in the natural world, that is, the
|
||
state of object in space and how they change over time. With
|
||
naturalistic imagination, subjects always think about actual states
|
||
of affairs against the background of what other states of affairs are
|
||
possible. The possible in this case is the kind of events that can
|
||
cause or be caused by the state of affairs, and so it gives them an
|
||
understanding of efficient causation. </font></font></font>
|
||
</p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 1.27cm; margin-right: 2.54cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt">Naturalistic
|
||
imagination does not replace earlier forms of imagination, but is,
|
||
rather, based on them and incorporates what they understand as part
|
||
of it own understanding. </font></font></font>
|
||
</p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 2.54cm; margin-right: 1.27cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt">Animal
|
||
behavior necessarily acts on objects in space, and with the evolution
|
||
of telesensory animals, there is already a <i>conception of the
|
||
object</i>, because there is an explicit representation of the object
|
||
in the sensory input system of its animal behavior guidance system.
|
||
Though telesensory animals are hardwired to adapt their animal
|
||
behavior to the locations of objects, those objects are not
|
||
explicitly represented as being located in space.</font></font></font></p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 2.54cm; margin-right: 1.27cm; text-indent: -1.27cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><img 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" name="ImagNat" align="bottom" width="660" height="330" border="0"></font></p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 2.54cm; margin-right: 1.27cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt">In
|
||
subjective animals, objects are represented as being located in
|
||
space. Spatial imagination gives them a <i>conception of the
|
||
structure of space</i>, and so they can think about the spatial
|
||
relations of objects in terms of the effects of motion on them. This
|
||
is an <i>intuitive understanding of spatial causation</i>. Subjective
|
||
animals always <i>see the actual spatial relations among objects
|
||
against the background of the other spatial relations that are
|
||
possible as a result of motion</i>. Though geometrical structures are
|
||
included in their telesensory images of objects in space, the objects
|
||
in space are not explicitly represented as having geometrical
|
||
structures. </font></font></font>
|
||
</p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 2.54cm; margin-right: 1.27cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt">In
|
||
manipulative animals, objects in space are represented as having
|
||
geometrical structures. Structural imagination gives them a
|
||
<i>conception of geometrical structures</i>, and thus, they can think
|
||
about the geometrical structures of objects in terms of the effects
|
||
of manipulation on them. This is <i>an intuitive understanding of
|
||
structural causation</i>. Manipulative animals always <i>see the
|
||
actual geometrical structures of objects in space against the
|
||
background of the other geometrical structures that are possible as a
|
||
result of manipulation</i>. Though states of affairs are included in
|
||
their representations of the world, those states of affairs are not
|
||
explicitly represented as states of affairs. </font></font></font>
|
||
</p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 2.54cm; margin-right: 1.27cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt">In
|
||
linguistic animals, the natural world is represented as having states
|
||
of affairs. Naturalistic imagination gives them a <i>conception of
|
||
states of objects in space</i>, either as events taking place or
|
||
conditions that simply hold at some time, and thus, they can think
|
||
about states of affairs in terms of their effects and their causes.
|
||
This is an <i>intuitive understanding of efficient causation</i>.
|
||
Though the regularities behind the most basic causal connections are
|
||
built into naturalistic imagination by how it is based on spatial and
|
||
structural imagination, other regularities can be internalized from
|
||
experience and used in a similar way, for example, how objects are
|
||
changed by fire, plants grow or can be killed, how animals behave in
|
||
certain situations, and even how their own children become adults.
|
||
Linguistic animals can always <i>see the actual states of affairs
|
||
against the background of the other states of affairs that are
|
||
possible because of how other states of affairs might affect them or
|
||
work together with them to produce effects</i>. This is the kind of
|
||
understanding that is involved in sharing a plan of social level
|
||
behavior, but it can be used to explain how other states of affairs
|
||
are caused or to predict the effects they will have. </font></font></font>
|
||
</p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 1.27cm; margin-right: 2.54cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt"><i><b>Truth
|
||
and logic.</b></i> Natural sentences can exist as public objects,
|
||
namely, as overt verbal behavior. (It is just speaking at the
|
||
primitive spiritual stage of evolution, though after the advent of
|
||
writing at the next spiritual stage of evolution, sentences can also
|
||
exist as permanent results of overt verbal behavior.) Such public
|
||
objects correspond to states of affairs in the natural world. When
|
||
the states to which they correspond actually exist, the natural
|
||
sentences are true, and when the states to not exist, the natural
|
||
sentences are false. But this relationship of correspondence between
|
||
natural sentences and states of affairs in the world is not direct.
|
||
It is mediated by the faculty of naturalistic imagination. </font></font></font>
|
||
</p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 2.54cm; margin-right: 1.27cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt">This
|
||
theory about the nature of truth for natural sentences is one of the
|
||
necessary truths of ontological philosophy. It follows from the
|
||
inevitability of the evolution of the linguistic level of
|
||
neurological organization, because the correspondence between
|
||
sentences and world is mediated by the faculty of naturalistic
|
||
imagination. The verbal side of linguistic representations is
|
||
connected to the nonverbal side, as we have seen, by Wernicke’s
|
||
area. But that means that words acquire their references to objects
|
||
or kinds of objects by way of their meanings, that is, by way of the
|
||
images that they name in naturalistic imagination (of all kinds,
|
||
local, object, telesensory and tactile). Naturalistic images
|
||
represent states of objects in space as states of objects in space
|
||
because they are constructed in naturalistic imagination by
|
||
superimposing one image on another as a representation of something
|
||
about objects in the local scene. That act of imagination explains
|
||
how the grammatical structure of a sentence is relevant to its truth.
|
||
</font></font></font>
|
||
</p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 2.54cm; margin-right: 1.27cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt">Logical
|
||
entailments among sentences are explained by their meanings. One
|
||
sentence is entailed by another just in case its naturalistic image
|
||
is already constructed in the process of constructing the
|
||
naturalistic image of the other. Logical connectives, such as “and,”
|
||
“or,” and “not” would be introduced to make clear in verbal
|
||
behavior how naturalistic images are to be combined as parts of a
|
||
plan or description of the natural world. And the gradual evolution
|
||
of the capacity to use a language of natural sentences would make it
|
||
possible to include many predications in a single sentence (by the
|
||
evolution of more versatile grammatical markers that make it possible
|
||
for members to learn how to use phrases, clauses, modifiers, and the
|
||
like).</font></font></font></p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 2.54cm; margin-right: 1.27cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000">“<font face="Times New Roman, serif"><font size="3" style="font-size: 12pt"><span lang="en-US">If
|
||
. . .then . . “ might also evolve at this stage. But it would
|
||
probably not be used to represent logical entailments between
|
||
sentences, since they would be too obvious. Rather, “if . . . then
|
||
. . .” would be used to represent the causal relations between
|
||
states of affairs that could be understood with a faculty of
|
||
naturalistic imagination. Their understanding of efficient cause
|
||
relations would include not only all the basic regularities about
|
||
change of location by motion and constraints on change imposed by the
|
||
geometrical structures of objects in space, but also all the
|
||
regularities that they have observed in the natural world, and it
|
||
would be useful at time to share a mutual recognition of them. Such
|
||
shared understanding of causal connections is crucial to sharing a
|
||
plan of social level behavior.</span></font></font></font></p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 1.27cm; margin-right: 2.54cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt"><i><b>Meaning
|
||
and reference. </b></i>This explanation of the evolution of language
|
||
clarifies something about the ontological assumptions on which this
|
||
philosophical argument is based. In postulating substances as causes
|
||
in explaining the world ontologically, we assumed that certain
|
||
aspects are constituted by the existence of substances, such as their
|
||
existence and essence. This was to explain properties ontologically,
|
||
without having to postulate properties as existing in addition to
|
||
substances. But I did not explain how specific aspects of substances
|
||
could be picked out or distinguished from one another. I simply used
|
||
language to refer to those aspects and talked about them as
|
||
properties of substances. The missing explanation of that ability, or
|
||
at least, the foundation for it, is provided by this explanation of
|
||
the evolution of language. It shows how the semantic relation is
|
||
mediated by images in the faculty of naturalistic imagination. </font></font></font>
|
||
</p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 2.54cm; margin-right: 1.27cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt">Each
|
||
word has a meaning as well as a referent, and its meaning is
|
||
responsible for its reference to an object or a kind of objects in
|
||
the world. Its meaning is the image that is connected to it by
|
||
Wernicke’s area, and it is because that image corresponds by way of
|
||
the primate faculty of imagination to an object, location, kind of
|
||
object, or relation in the world that the word refers to objects,
|
||
properties and relations. Likewise the meaning of a whole sentence is
|
||
the <i>naturalistic image </i>that is connected to the natural
|
||
sentence by Wernicke’s area, and it is because the naturalistic
|
||
image corresponds (by way of the meanings of its constituent words
|
||
and their grammatical relations in the faculty of imagination to a
|
||
state of affairs in the natural world) that the natural sentence
|
||
refers to such a state of affairs in the natural world.</font></font></font></p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 2.54cm; margin-right: 1.27cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt">What
|
||
has been explained by ontological philosophy are the substances and
|
||
aspects of substances to which words and sentences refer. Particular
|
||
objects are all constituted by space and matter in some way, and
|
||
particular substances fall into kinds because they have aspects of
|
||
the same kinds. Those aspects of particular substances have all been
|
||
explained as aspects entailed by the existence of two opposite kinds
|
||
of basic substances, space and matter, and how they exist together as
|
||
the objects in question. But that ontological explanation depends on
|
||
being able to see that the basic substances have aspects, including
|
||
their relations as parts of the same world, and how they constitute
|
||
objects with the properties in question. </font></font></font>
|
||
</p>
|
||
<p lang="en-US" class="western" align="left" style="margin-left: 2.54cm; margin-right: 1.27cm; margin-top: 0.49cm; margin-bottom: 0.49cm; line-height: 100%; widows: 0; orphans: 0">
|
||
<font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt"><span lang="en-US">The
|
||
reason it is possible for us to understand such an ontologically deep
|
||
explanation of the world is that language acquires its relationship
|
||
to the world by way of the a faculty of imagination based on the
|
||
primate animal system of representation, which represents the most
|
||
basic aspects of the world, its spatial and spatio-temporal
|
||
structure. Spatial imagination represents the world in a way that
|
||
makes it possible, in principle, to keep track of objects by their
|
||
locations in space over time. The location of an object in the </span></font></font></font><font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt"><span lang="en-US"><i>local
|
||
image </i></span></font></font></font><font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt"><span lang="en-US">is
|
||
a location in the entire world, and thus, with the evolution of
|
||
language, that makes it possible to refer to any particular object
|
||
unambiguously by its location in space at some time. </span></font></font></font><font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt"><span lang="en-US"><i>Local
|
||
images </i></span></font></font></font><font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt"><span lang="en-US">also
|
||
make it possible to refer to spatial relations among objects, and how
|
||
sequences of images over time represent change over time makes it
|
||
possible to refer to temporal relations. The </span></font></font></font><font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt"><span lang="en-US"><i>object
|
||
images </i></span></font></font></font><font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt"><span lang="en-US">added
|
||
by structural imagination represent the geometrical structures of
|
||
objects in space, and thus, words can refer to some of the most basic
|
||
properties of substances in a spatiomaterial world, along with
|
||
whatever properties are represented in telesensory (and tactile,
|
||
including taste) images of them. </span></font></font></font><font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt"><span lang="en-US"><i>Naturalistic
|
||
images </i></span></font></font></font><font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt"><span lang="en-US">constructed
|
||
out of such images in naturalistic imagination can correspond to
|
||
states of affairs, which are aspects of the world (that is,
|
||
substances having properties). </span></font></font></font><font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt"><span lang="en-US"><i>Naturalistic
|
||
images </i></span></font></font></font><font color="#000000"><font face="Times New Roman, serif"><font size="3" style="font-size: 12pt"><span lang="en-US">with
|
||
a kind of object as grammatical subject correspond to complex
|
||
properties (that is, properties having properties, or aspects of
|
||
aspects). But it is the meanings provided by a faculty of imagination
|
||
whose very structure represents the basic, spatial nature of the
|
||
world that explains what words and sentences refer to.</span></font></font></font></p>
|
||
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