[Inquiry] Re: Prospects for Inquiry Driven Systems

[Jon Awbrey]

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PRO.  Note 44

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1.3.3.  Cognitive Science

Remarkably, seeds of a hybrid character, similar to what is sought in
the intersection of AI and systems theory, were planted many years ago
by one who explored the farther and nether regions of the human mind.
This model blended recognizably cybernetic and cognitive ideas in a
scheme that included associative networks for adaptive learning and
recursion mechanisms for problem solving.  But these prescient ideas
lay dormant and untended by their originator for over half a century.
Sigmund Freud rightly estimated that this model would always be too
simple minded to help with the complex and subtle exigencies of his
chosen practice.  But the "Project" he wrote out in 1895 (Freud, 1954)
is still more sophisticated, in its underlying computational structure,
than many receiving serious study today in AI and cognitive modeling.
Again, here is another stage, another window, where old ideas and
directions may be worth a new look with the new 'scopes available,
if only to provide a basis for informing the speculations that
get a theory started.

The ideas of information processing, AI, cybernetics, and systems theory have
had, of course, appreciably more direct interactions with the development of
cognitive science.  A share of these mutual influences and crosscurrents can
be traced through the texts and references of (Young, 1964, 1978), (de Bono,
1969), (Eccles, 1970), (Anderson & Bower, 1973), (Krantz, et al., 1974),
(Johnson-Laird & Wason, 1977), (Lachman, Lachman, & Butterfield, 1979),
(Wyer & Carlston, 1979), (Boden, 1980), (Anderson, 1981, '83, '90),
(Schank, 1982), (Gentner & Stevens, 1983), (Gardner, 1983, 1985),
(O'Shea & Eisenstadt, 1984), (Pylyshyn, 1984), (Bakeman & Gottman,
1986), (Collins & Smith, 1988), (Minsky & Papert, 1988), (Posner,
1989), (Vosniadou & Ortony, 1989), (Gottman & Roy, 1990), and
(Newell, 1990).

Jon Awbrey

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