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COGS 535 Computational Issues in Cognitive Science

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The mind's concept of computation is based on certain intuitions about the basic similarities between computation and cognition. We have examined some of these intuitions and believe that they stem from the fact that both computers and human organisms are physical systems whose behavior is correctly described as governed by the rules affecting symbolic representation. It has been suggested that the main hypothesis of this method (the "proprietary vocabulary hypothesis") is a natural field of human functions (roughly a field that we intuitively associate with perception, reasoning, and action) that can be specifically based on formal symbols.

If mental activity is used as a literal view of computation as the basis of an explanatory theory, much of the content of this article details the various conditions that must be met. The consistency of this point of view depends on the fundamental difference between the function of interpretation, which requires us to establish internal representations, and the function, which we can properly describe as a simple implementation of causal physical or biological laws. In this article, this distinction is based on a methodological criterion called the "cognitive impenetrability condition". If function is not influenced by purely cognitive factors such as goals, beliefs, reasoning, tacit knowledge, etc., it is considered cognitively incomprehensible. Such standards can separate a fixed thinking ability (called "functional architecture") from specific representations and algorithms used in specific situations based on experience. For computational theories to avoid temporality, they must effectively address the "degrees of freedom" problem by limiting the extent to which they can be arbitrarily adjusted ex post facto to adapt to certain specific sets of observations.

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