Principles of Synthetic Intelligence PSI: An Architecture of Motivated Cognition
Series: Oxford Series on Cognitive Models and Architectures;
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Product details:
- Publisher OUP USA
- Date of Publication 30 April 2009
- Number of Volumes BB
- ISBN 9780195370676
- Binding Hardback
- No. of pages400 pages
- Size 236x163x30 mm
- Weight 680 g
- Language English
- Illustrations Tables and Figures 0
Categories
Long description:
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.
MoreTable of Contents:
Machines to explain the mind
Dorner's "blueprint for a mind"
Representation of and for mental processes
Behavior control and action selection
Language and future avenues
Dorner's PSI agent implementation
From PSI to MicroPSI: Reprsentations in the PSI Model
The MicroPSI architecture
The MicroPSI framework
Summary: The PSI theory as a model of cognition
References
Index
