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A "Society of Mind" Cognitive Architecture Based on the Principles of Artificial Economics

A "Society of Mind" Cognitive Architecture Based on the Principles of Artificial Economics

Darryl N. Davis, Vijayakumar Maragal Venkatamuni
Copyright: © 2010 |Volume: 1 |Issue: 1 |Pages: 21
ISSN: 1947-3087|EISSN: 1947-3079|ISSN: 1947-3087|EISBN13: 9781616929657|EISSN: 1947-3079|DOI: 10.4018/jalr.2010102104
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MLA

Davis, Darryl N., and Vijayakumar Maragal Venkatamuni. "A "Society of Mind" Cognitive Architecture Based on the Principles of Artificial Economics." IJALR vol.1, no.1 2010: pp.51-71. http://doi.org/10.4018/jalr.2010102104

APA

Davis, D. N. & Venkatamuni, V. M. (2010). A "Society of Mind" Cognitive Architecture Based on the Principles of Artificial Economics. International Journal of Artificial Life Research (IJALR), 1(1), 51-71. http://doi.org/10.4018/jalr.2010102104

Chicago

Davis, Darryl N., and Vijayakumar Maragal Venkatamuni. "A "Society of Mind" Cognitive Architecture Based on the Principles of Artificial Economics," International Journal of Artificial Life Research (IJALR) 1, no.1: 51-71. http://doi.org/10.4018/jalr.2010102104

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Abstract

This research investigates the concept of mind as a control system using the “Society of Agents” metaphor, whereby the whole is described as the collective behavior of simple and intelligent agents. This powerful concept for mind research benefits from the use of metacognition, and eases the development of a self configurable computational model. A six tiered SMCA (Society of Mind Cognitive Architecture) control model is designed that relies on a society of agents operating using metrics associated with the principles of artificial economics in animal cognition. Qualities such as level of decision making, its cost function and utility behavior (the microeconomic level), physiological and goal oriented behavior are investigated. The research builds on current work, and shows the use of affect norms as metacontrol heuristics enables the computational model to adapt and learn in order to optimize its behavior.

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