The importance of cognitive architectures: An analysis based on CLARION


Abstract
Research in computational cognitive modeling investigates the nature of cognition through developing process-based understanding by specifying computational models of mechanisms (including representations) and processes. In this enterprise, a cognitive architecture is a domaingeneric computational cognitive model that may be used for a broad, multiple-level, multipledomain analysis of behavior. It embodies generic descriptions of cognition in computer algorithms and programs. Developing cognitive architectures is a difficult but important task. In this article, discussions of issues and challenges in developing cognitive architectures will be undertaken, and an example cognitive architecture (CLARION) will be described.
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References found in this work BETA

Unified Theories of Cognition.Allen Newell - 1990 - Harvard University Press.
The Modularity of Mind.Jerry A. Fodor - 1983 - Cambridge, MA: MIT Press.
The Modularity of Mind.Robert Cummins & Jerry Fodor - 1985 - Philosophical Review 94 (1):101.

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Dual PECCS: A Cognitive System for Conceptual Representation and Categorization.Antonio Lieto, Daniele Radicioni & Valentina Rho - 2017 - Journal of Experimental and Theoretical Artificial Intelligence 29 (2):433-452.
Hegelian Phenomenology and Robotics.Donald S. Borrett, David Shih, Michael Tomko, Sarah Borrett & Hon C. Kwan - 2011 - International Journal of Machine Consciousness 3 (01):219-235.

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