Principles of Synthetic Intelligence PSI: An Architecture of Motivated Cognition

Principles of Synthetic Intelligence PSI: An Architecture of Motivated Cognition

by Joscha Bach
     
 

Although computational models of cognition have become very popular, these models are relatively limited in their coverage of cognition— they usually only emphasize problem solving and reasoning, or treat perception and motivation as isolated modules. The first architecture to cover cognition more broadly is Psi theory, developed by Dietrich Dorner. By

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Overview

Although computational models of cognition have become very popular, these models are relatively limited in their coverage of cognition— they usually only emphasize problem solving and reasoning, or treat perception and motivation as isolated modules. The first architecture to cover cognition more broadly is Psi theory, developed by Dietrich Dorner. By integrating motivation and emotion with perception and reasoning, and including grounded neuro-symbolic representations, Psi contributes significantly to an integrated understanding of the mind. It provides a conceptual framework that highlights the relationships between perception and memory, language and mental representation, reasoning and motivation, emotion and cognition, autonomy and social behavior. It is, however, unfortunate that Psi's origin in psychology, its methodology, and its lack of documentation have limited its impact. The proposed book adapts Psi theory to cognitive science and artificial intelligence, by elucidating both its theoretical and technical frameworks, and clarifying its contribution to how we have come to understand cognition.

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Product Details

ISBN-13:
9780195370676
Publisher:
Oxford University Press
Publication date:
04/06/2009
Series:
Oxford Series on Cognitive Models and Architectures Series
Pages:
400
Sales rank:
913,028
Product dimensions:
6.30(w) x 9.30(h) x 1.00(d)

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