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6 - Constraints in Cognitive Architectures

from Part II - Cognitive Modeling Paradigms

Published online by Cambridge University Press:  05 June 2012

By
Niels A. Taatgen  and
John R. Anderson
Edited by
Ron Sun
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Summary

Cognitive architectures are on the one hand echoes of the original goal of creating an intelligent machine faithful to human intelligence and on the other hand attempts at theoretical unification in the field of cognitive psychology. This chapter discusses the current state of cognitive architectures to characterize four prime examples: The States, Operators, And Reasoning (SOAR) architecture, the Adaptive Control of Thought, Rational (ACT-R) theory, Executive-Process Interactive Control (EPIC) architecture, and Connectionist Learning with Adaptive Rule Induction Online (CLARION) architecture. The chapter examines a number of topics that can serve as constraints on modeling and discusses how four architectures offer solutions to help modeling in that topic area. The viewpoint of cognitive constraint is different from the perspective of how much functionality an architecture can provide, as expressed by, for example, Anderson and Lebiere.
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The Cambridge Handbook of Computational Psychology , pp. 170 - 186
Publisher: Cambridge University Press
Print publication year: 2008

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