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The Challenge of Anticipation - A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems (Paperback, 2008 ed.)
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The Challenge of Anticipation - A Unifying Framework for the Analysis and Design of Artificial Cognitive Systems (Paperback, 2008 ed.)
Series: Lecture Notes in Artificial Intelligence, 5225
Expected to ship within 10 - 15 working days
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The general idea that brains anticipate the future, that they
engage in prediction, and that one means of doing this is through
some sort of inner model that can be run of?ine, hasalonghistory.
SomeversionoftheideawascommontoAristotle, aswell as to many
medieval scholastics, to Leibniz and Hume, and in more recent
times, to Kenneth Craik and Philip Johnson-Laird. One reason that
this general idea recurs continually is that this is the kind of
picture that introspection paints. When we are engaged in tasks it
seems that we form images that are predictions, or anticipations,
and that these images are isomorphic to what they represent. But as
much as the general idea recurs, opposition to it also recurs. The
idea has never been widely accepted, or uncontroversial among
psychologists, cognitive scientists and neuroscientists. The main
reason has been that science cannot be s- is?ed with metaphors and
introspection. In order to gain acceptance, an idea needs to be
formulated clearly enough so that it can be used to construct
testable hypot- ses whose results will clearly supportor cast
doubtupon the hypothesis. Next, those ideasthatare formulablein one
oranothersortof symbolismor notationare capable of being modeled,
and modeling is a huge part of cognitive neuroscience. If an idea
cannot be clearly modeled, then there are limits to how widely it
can be tested and accepted by a cognitive neuroscience communit
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