The Soar cognitive architecture / / John E. Laird

• Autore: Laird John <1954->
• Pubblicazione: Cambridge, Mass. ; ; London, England, : MIT Press, ©2012; ©2012
• Descrizione fisica: 1 online resource (391 p.)
• Disciplina: 006.3
• Soggetto topico: Artificial intelligence; Software architecture
• Soggetto non controllato: COMPUTER SCIENCE/General; COGNITIVE SCIENCES/General
• Note generali: "A Bradford Book."
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Contents; Preface; Acknowledgments; Chapter 1. Introduction; 1.1 Background; 1.2 Cognitive Architectures; 1.3 Soar; 1.4 Research Strategy; 1.5 Preview of Chapters 2-14; Chapter 2. Requirements for Cognitive Architectures; 2.1 Characteristics of Environments, Tasks, and Agents; 2.2 Architectural Requirements; Chapter 3. The Problem-Space Computational Model; 3.1 Task Environments; 3.2 The Problem-Space Framework; 3.3 Knowledge Search; 3.4 Problem-Space Computational Models; 3.5 Impasses and Substates; 3.6 Using Multiple Sources of Knowledge; 3.7 Acquiring Knowledge; 3.8 Alternative PSCMs ; Chapter 4. Soar as an Implementation of the PSCM4.1 Production Systems; 4.2 Mapping Production Systems onto the PSCM; 4.3 The Soar Processing Cycle; 4.4 Demonstrations of Basic PSCM; 4.5 Discussion; 4.6 Analysis of Requirements; Chapter 5. Impasses and Substates: The Basis for Complex Reasoning; 5.1 Impasses; 5.2 Substates; 5.3 Problem Solving in Substates; 5.4 Substate Results; 5.5 Maintaining Consistency; 5.6 Demonstrations of Impasses and Substates; 5.7 Discussion; 5.8 Analysis of Requirements; Chapter 6. Chunking; 6.1 Chunking in Soar; 6.2 Implications of Chunking in Soar ; 6.3 Demonstrations of Chunking6.4 Assumptions Inherent to Chunking; Chapter 7. Tuning Procedural Knowledge: Reinforcement Learning; 7.1 Reinforcement Learning in Soar; 7.2 Learning over Large State Spaces; 7.3 Demonstrations of Reinforcement Learning; 7.4 Analysis of Requirements; Chapter 8. Semantic Memory; 8.1 Semantic Memory in Soar; 8.2 Encoding and Storage; 8.3 Retrieval; 8.4 Demonstrations of Semantic Memory; 8.5 Analysis of Requirements; Chapter 9. Episodic Memory; 9.1 Episodic Memory in Soar; 9.2 Encoding and Storage; 9.3 Retrieval; 9.4 Use of Episodic Memory ; 9.5 Demonstrations of Episodic Memory9.6 Comparison of Episodic Memory and Semantic Memory; 9.7 Analysis of Requirements; Chapter 10. Visuospatial Processing with Mental Imagery; 10.1 Visual and Spatial Representations; 10.2 Visuospatial Domains; 10.3 SVS; 10.4 Demonstrations of Spatial and Visual Imagery; 10.5 Analysis of Requirements; Chapter 11. Emotion; 11.1 Appraisal Theories of Emotion; 11.2 Abstract Functional Cognitive Operations; 11.3 Unifying Cognitive Control and Appraisal; 11.4 Emotion, Mood, and Feeling; 11.5 Emotion and Reinforcement Learning ; 11.6 Demonstrations of Emotion Processing11.7 Analysis of Requirements; Chapter 12. Demonstrations of Multiple Architectural Capabilities; 12.1 Learning to Use Episodic Memory with Reinforcement Learning; 12.2 Using Mental Imagery with Reinforcement Learning; 12.3 Diverse Forms of Action Modeling; 12.4 Analysis of Requirements; Chapter 13. Soar Applications; 13.1 Applications; 13.2 TacAir-Soar; 13.3 Imagining TacAir-Soar 2.0; Chapter 14. Conclusion; 14.1 Soar from a Structural Perspective; 14.2 Soar from a Functional Perspective; 14.3 Evaluating Soar on Architectural Requirements; References ; Index
• Sommario/riassunto: The definitive presentation of Soar, one AI's most enduring architectures, offering comprehensive descriptions of fundamental aspects and new components.
• Titolo autorizzato: The Soar cognitive architecture
• ISBN: 1-280-49927-3; 9786613594501; 0-262-30114-8
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910823221803321
• Lo trovi qui: Univ. Federico II