The Soar Cognitive Architecture

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MIT Press, 2012 - Computers - 374 pages

The definitive presentation of Soar, one AI's most enduring architectures, offering comprehensive descriptions of fundamental aspects and new components.

In development for thirty years, Soar is a general cognitive architecture that integrates knowledge-intensive reasoning, reactive execution, hierarchical reasoning, planning, and learning from experience, with the goal of creating a general computational system that has the same cognitive abilities as humans. In contrast, most AI systems are designed to solve only one type of problem, such as playing chess, searching the Internet, or scheduling aircraft departures. Soar is both a software system for agent development and a theory of what computational structures are necessary to support human-level agents. Over the years, both software system and theory have evolved. This book offers the definitive presentation of Soar from theoretical and practical perspectives, providing comprehensive descriptions of fundamental aspects and new components.

The current version of Soar features major extensions, adding reinforcement learning, semantic memory, episodic memory, mental imagery, and an appraisal-based model of emotion. This book describes details of Soar's component memories and processes and offers demonstrations of individual components, components working in combination, and real-world applications. Beyond these functional considerations, the book also proposes requirements for general cognitive architectures and explicitly evaluates how well Soar meets those requirements.

 

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Contents

Chapter 1 Introduction
1
Chapter 2 Requirements for Cognitive Architectures
27
Chapter 3 The ProblemSpace Computational Model
43
Chapter 4 Soar as an Implementation of the PSCM
69
The Basis for Complex Reasoning
119
Chapter 6 Chunking
159
Reinforcement Learning
181
Chapter 8 Semantic Memory
203
Chapter 10 Visuospatial Processing with Mental Imagery
247
Chapter 11 Emotion
271
Chapter 12 Demonstrations of Multiple Architectural Capabilities
287
Chapter 13 Soar Applications
307
Chapter 14 Conclusion
325
References
347
Index
367
Copyright

Chapter 9 Episodic Memory
225

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About the author (2012)

John E. Laird is John L. Tishman Professor of Engineering in the Computer Science Division at the University of Michigan.

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