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123 KiB
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303 lines
123 KiB
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<title>The possibility of the reflective level of neurological organization</title>
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<meta name="generator" content="LibreOffice 4.2.8.2 (Linux)">
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<meta name="author" content="Amr Gharbeia">
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<meta name="created" content="20010831;0">
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<meta name="changed" content="20150722;224610901623113">
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p.cjk { font-family: "Times New Roman", serif; font-size: 10pt }
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p.ctl { font-family: "Simplified Arabic"; font-size: 10pt; so-language: ar-EG }
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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="TtsOtkCRS09_06" align="right" hspace="5" width="150" height="43" border="0">he
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possibility of the reflective level of neurological organization.
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</b></font></font>Having seen how a higher level of neurological
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organization could open up an entire range of new powers to control
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relevant conditions, we can conclude that its evolution is
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inevitable, <i>if it is possible</i>, in the sense that it can be
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tried out as a random variation and naturally selected for such a
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function. There is not much reason to doubt its possibility when it
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comes to the capacity of the mechanism of embryological development
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to try setting up brains with reflective imagination, because the
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reflective level occurs in the faculty of imagination. But at first,
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the reflective level of neurological organization would be much
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simpler and weaker than the capacity for reason we have been
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considering, since the brain mechanisms on which beings like us can
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reflect on are informed by many centuries of cultural evolution.
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Thus, it may not be obvious how, even if a higher level of
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neurological organization were tried out as a random variation, it
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would be naturally selected. But before we take up that problem, let
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us make sure that the reflective level of neurological organization
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is as simple as it seems to be. </font></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">S<img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAHUAAAAOCAMAAAAmP6OMAAAAYFBMVEXjx5vVu5HHroi4on6qlXSciWqOfGF/cFdxY01jV0MybUFVSjpGPjA4MSZ+AAAqJR0cGBMNDAkAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAudIAeAAABUElEQVR4nOWUXZbDIAiFRQHJUca0+1/sADY/dQGTh+GhzUUvX6GcpJ8nIr2fiPROfx9PUlGkpLIcrfoI1vKlmE8B2RLfl+93Md+p1JBq0qX6qo8Yi0K5ysr6YwVvIsOdWqs9lZeyNjWjIKgOfmlRZ1sSuvbZmBbLe321HnWgKXNsOsA9bbfroAlOh/i3ffDQzQrj6AofKmxDyXuzTFBtaBA6qJBYsJdoLPc5A9zsCMkVSu4o1T3eq6aWmQ+H9boVIWtKdqdu0f2xTTA+lKDGXE6qeZtITpees9xFOKioMj2TStLgcFg2jrjjcKpc1Grd9dTJJ1qUBqKPbWDuLEExHWuhJHJRlbEGFQYRuaf0ObJ2OkTIaYagfaECC0PKxrZ7VClbJfLJgac4IOybAJU/S5rRlW0++2OWOj0sfkzldCBby767/g9gtrsu/tlb4on4Bf+1JJ4MWLfiAAAAAElFTkSuQmCC" name="TtsOtkCRS09_07" align="right" hspace="5" width="175" height="20" border="0">tructure
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of the reflective brain.</font> The functional diagram of the
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reflecting animal behavior guidance system shows how nervous systems
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of the kind we have been considering could incorporate a mechanism
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for rational imagination. Since the higher level of neurological
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organization occurs within the faculty of naturalistic imagination,
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it occurs in each of the systems involved in generating verbal
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behavior in mere linguistic animals. The psychological linguistic act
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and psychological image are represented as more encompassing forms of
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behavior than naturalistic acts and images, because the latter are
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contained as special parts of the former. </font></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"><span lang="en-US"><i><b>Speaking.</b></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">
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In the speaker, the psychological linguistic schema must not only
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construct all the images of psychological states (beliefs and
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desires, including both the proposition and the propositional
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attitude toward it in each case), but also predicate the
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psychological states of an animal subject. In order to express this
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nonverbal activity in the rational imagination verbally, a more
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complex grammatical structure is required. The sentence must identify
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the naturalistic image (or psychological image) whose causal role is
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being described, it must identify the kind of causal role predicated
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of it, and it must identify the subject in whom such a psychological
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state occurs. Since there is already one predication in any
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naturalistic image toward which the propositional attitude is taken,
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a basically new kind of grammatical marker is required to indicate
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the kind of predication that occurs in constructing psychological
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images. Those grammatical markers are the verbs of propositional
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attitude. </span></font></font></font>
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</p>
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" name="Image1" align="left" width="510" height="387" 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">Verbs
|
||
of propositional attitude indicate a kind of predication in which a
|
||
naturalistic (or psychological) image is represented as playing
|
||
certain kinds of causal roles in causing behavior (or beliefs). That
|
||
is, psychological linguistic schemata must be able to construct
|
||
naturalistic (or other psychological) images in the sensory input
|
||
system and then temporarily impose them on the speakers brain so that
|
||
their effects on the brain can represent their implications about
|
||
intentions (or beliefs). The verbs of propositional attitude
|
||
represent how they are imposed on the brain, and given the nature of
|
||
animal behavior guidance systems, there are three basically different
|
||
causal roles they might have.</span></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">Verbs of
|
||
propositional attitude such as “believe,” “perceive,” and
|
||
“remember” indicate various ways of imposing naturalistic (or
|
||
psychological) images on the sensory input system. They constrain the
|
||
speaker’s behavior guiding processes so that the sequences of
|
||
images that are called up from memory in rational imagination
|
||
represent what a subject would infer in certain situations. </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">Verbs of
|
||
propositional attitude such as “desires,” “needs,” and
|
||
“wants” indicate the imposition of naturalistic (psychological)
|
||
images on the goal direction system of the speaker’s brain. They
|
||
constrain the speaker’s brain so that the sequences of images that
|
||
are called up from memory represent what a subject would try to do
|
||
when certain kinds of behavioral schemata were activated (relative to
|
||
certain objects). </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">Verbs of
|
||
propositional attitude representing intentions indicate the
|
||
imposition of naturalistic (or psychological) images on the speaker’s
|
||
behavioral output system. They constrain the speaker’s brain so
|
||
that the sequences of images that are called up in rational
|
||
imagination represent the beliefs or desires that might lead a
|
||
subject to behave with such an intention. </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
|
||
there are three basically different kinds of causal roles that such
|
||
first level propositions might play in behavior guidance processes,
|
||
the reflective linguistic schemata need only two basically different
|
||
ways of imposing propositions on the brain, because desires and
|
||
intentions are both represented in the behavioral output 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">The goal
|
||
selection system does not represent goals on its own, but only by
|
||
activating certain kinds of behavioral schemata in the behavioral
|
||
output system (perhaps, relative to certain objects in the sensory
|
||
input system). Thus, desires can be represented in rational
|
||
imagination by imposing propositions on the behavioral output system,
|
||
for if the kinds of behavior represented are general enough in the
|
||
situation, the sequences of images called up from memory will be
|
||
inferences about how to behave in that way (perhaps relative to so
|
||
object picked out in the sensory input system)</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">Since
|
||
there are only two basically different verbs of propositional
|
||
attitude, no great changes are required of biological evolution in
|
||
order for linguistic brains to acquire the ability to use
|
||
psychological sentences. It would be enough for some random variation
|
||
to try out a mechanism for imposing propositions (naturalistic or
|
||
psychological images) on the speakers brain in two different ways,
|
||
one affecting mainly the sensory input system and the other affecting
|
||
mainly the behavioral output system. The distinctions among kinds of
|
||
psychological states is each class could then be acquired by
|
||
learning. </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">For
|
||
example, the difference between imposing a naturalistic image as a
|
||
perception or imposing it as a belief could be acquired as part of
|
||
the process of learning to impose propositions on the sensory input
|
||
system, for the difference would show up mainly in the strength of
|
||
the belief and how easily it could be discounted. </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">Likewise,
|
||
the difference between imposing a proposition as a desire and
|
||
imposing it as an intention could be acquired as a refinement of the
|
||
capacity to impose propositions on the behavioral output system, for
|
||
it would merely indicate which of the sequences of images that were
|
||
called up from memory in rational imagination is relevant, those
|
||
representing inferences about how to behave (that is, its
|
||
consequences) and those representing inferences about the beliefs and
|
||
desires that motivate it (or its causes). </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">In
|
||
order for verbal behavior to indicate the activity in the speaker’s
|
||
rational imagination, the nonverbal covert side of the linguistic act
|
||
must be expressed verbally, and the job of representing the activity
|
||
in rational imagination in verbal behavior is performed by Wernicke’s
|
||
and Broca’s areas as indicated in the functional diagram of the
|
||
reflective brain. (The projection from the former to the latter is
|
||
not represented in this functional diagram, but it can be seen in
|
||
(See the diagram of the linguistic brain in the <font face="Arial, sans-serif">Linguistic
|
||
stage, Stage 8</font>.)</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
|
||
motor output for speaking comes from Broca’s area. But Broca’s
|
||
area depends on input from Wernicke’s area, because Wernicke’s
|
||
area is what receives information from rational imagination about how
|
||
the psychological image is being constructed. </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 must not only give the names of the images (meanings of words)
|
||
involved, but also have grammatical markers that distinguish one kind
|
||
of predication from another (that is, the naturalistic predication
|
||
that may occur in the embedded naturalistic sentence from the
|
||
predication of the psychological state to some subject). That is the
|
||
role of verbs of propositional attitude: they are the grammatical
|
||
markers for the new kind of predication, the one that is involved in
|
||
imagining subjects as having psychological states. </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
|
||
grammatical markers for the predication involved in the construction
|
||
of naturalistic images has already evolved, they can be embedded in
|
||
the psychological sentence after the verb of propositional attitude.
|
||
That is, the naturalistic sentence is contained in the psychological
|
||
sentence after the verb of propositional attitude, like a name for
|
||
the naturalistic image toward which the attitude is taken.</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">With the
|
||
capacity to distinguish psychological from naturalistic predication,
|
||
it is possible to treat psychological images in the same way as
|
||
naturalistic images in rational imagination. Thus, subjects can be
|
||
seen as having beliefs or desires about beliefs or desires. </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">Assuming
|
||
that Wernicke’s area supplies the required words and grammatical
|
||
markers, Broca’s area can generate the motor commands for the words
|
||
and the grammatical markers through the motor neocortex. Once again,
|
||
verbal behavior would be generated by the linguistic schema only
|
||
indirectly, as a result of thinking the content of the sentence and
|
||
the effect of the images constructed in imagination on Broca’s
|
||
area. (See <font face="Arial, sans-serif">Linguistic stage:
|
||
Possibility: Structure </font>for details.</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">Though only
|
||
the verbal side of linguistic behavior is overt, it can also be
|
||
generated covertly. That is, one can speak to oneself silently by
|
||
generating the motor commands for speaking covertly. But it is also
|
||
possible to carry out the nonverbal side of a linguistic act without
|
||
generating even covert verbal behavior. That is how the reflective
|
||
subject normally thinks. </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>Listening</b></i>.
|
||
The listener’s understanding of psychological sentences parallels
|
||
that of natural sentences. Wernicke’s area constructs the
|
||
psychological image in the listener’s rational imagination using
|
||
telesensory input about the speaker’s overt verbal behavior. </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
|
||
area acquires the nervous mechanisms for decoding verbal behavior in
|
||
the development of the capacity to speak psychological sentences. The
|
||
connections between words and the images that are their meanings and
|
||
between grammatical markers and the ways of combining images that are
|
||
their meanings are two-way connections (as indicated in the
|
||
functional diagram). That is, Wernicke’s area uses the words
|
||
identified in telesensory input to call up the images and the
|
||
grammatical markers identified in telesensory input to combine them
|
||
on the inferior parietal role in the same way that the posterior
|
||
cingulate neocortex would have, if the brain had been speaking the
|
||
sentence meaningfully. Thus, the listener can grasp the meaning of
|
||
the sentence heard. Broca’s area is not required for comprehension.</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">Unlike
|
||
the previous levels of neurological organization, I cannot point to
|
||
any additional brain structures that realize the higher level of
|
||
neurological organization. Its existence is basically an inference
|
||
from the structure of psychological sentences and their function as a
|
||
faculty of rational imagination. But given the basic structure of the
|
||
faculty of imagination, it is plausible, at least, to suppose that
|
||
there is some new brain structures that enables the reflective brain
|
||
to impose propositions on the brain in the two basically different
|
||
ways described above. </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 of the neocortex are properly evidence of
|
||
reflective level neurological mechanisms. I cited them as evidence
|
||
for the evolution of the mechanisms required for the use of natural
|
||
sentence, but that is just an inference. There are no brains left
|
||
from the primitive spiritual stage of evolution to show that these
|
||
brain mechanisms evolved first in linguistic brains. Even if there
|
||
were, there might be no dramatic evidence of the difference between
|
||
these two levels of neurological organization, because the reflective
|
||
level of part-whole complexity does not require any basically new
|
||
systems. It requires only higher levels of part-whole complexity in
|
||
the same systems that constitute naturalistic imagination with its
|
||
capacity to generate and be controlled by over verbal behavior. </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">There
|
||
may, however, be some evidence for this theory about the difference
|
||
between beliefs and desires in the way different kinds of words are
|
||
processed in Wernicke’s area. Different regions of neocortex in
|
||
Wernicke’s area are the locus for words referring to objects in
|
||
space, such as kinds of animals, and words referring to kinds of
|
||
behavior, including tools. It suggest that there is a connection
|
||
between telesensory images of each kind of behavior and behavioral
|
||
schemata for generating that kind of behavior. This is evidence of a
|
||
mechanism by which the brain distinguishes between beliefs and
|
||
desires, that is, between psychological states most relevant to input
|
||
and those most relevant to output. </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
|
||
is little danger in proceeding at this point on the assumption that
|
||
there is a reflective level of neurological organization that can be
|
||
tried out as a random variation. Given the structure of the faculty
|
||
of imagination, only rather modest changes are required for the
|
||
behavior generator to speak psychological sentences and, once again,
|
||
the details of the nervous mechanism can be acquired by learning. </font></font></font>
|
||
</p>
|
||
</body>
|
||
</html> |