Description
Book SynopsisAlthough 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
Trade Review"...outstanding...Overall, Bach inspires the reader to embrace the possibilities of AI, and his account of PSI theory and hte MicroPSI architecture and framework provide us with an exciting and fruitful new perspective on cognitive science and the philosophy of the mind."--PsycCRITIQUES
Table of Contents1. Machines to explain the mind ; 2. Dorner's "blueprint for a mind" ; 3. Representation of and for mental processes ; 4. Behavior control and action selection ; 5. Language and future avenues ; 6. Dorner's PSI agent implementation ; 7. From PSI to MicroPSI: Reprsentations in the PSI Model ; 8. The MicroPSI architecture ; 9. The MicroPSI framework ; 10. Summary: The PSI theory as a model of cognition ; References ; Index
