Cambridge Handbook of Computational Cognitive Sciences
Cambridge Handbook of Computational Cognitive Sciences
Sun, Ron
Cambridge University Press
900
Inglês
9781108719162
Descrição não disponível.
Volume 1: Part I. Introduction: 1. An overview of computational cognitive sciences Ron Sun; Part II. Cognitive modeling paradigms: 2. Connectionist models of cognition Michael S. C. Thomas, James L. McClelland; 3. Bayesian models of cognition Thomas L. Griffiths, Charles Kemp, Joshua B. Tenenbaum; 4. Symbolic and hybrid models of cognition Tarek R. Besold, Kai-Uwe Kuehnberger; 5. Logic-Based modeling of cognition Selmer Bringsjord, Michael Giancola, Naveen Sundar Govindarajulu; 6. Dynamical systems approaches to cognition Gregor Schoener; 7. Quantum models of cognition Jerome R. Busemeyer, Emmanuel M. Pothos; 8. Constraints in cognitive architectures Niels Taatgen, John Anderson; 9. Deep learning Marco Gori, Frederic Precioso, Edmondo Trentin; 10. Reinforcement learning Kenji Doya; Part III. Computational modeling of basic cognitive functionalities: 11. Computational models of categorization Kenneth J. Kurtz; 12. Computational cognitive neuroscience models of categorization F. Gregory Ashby, Yi-Wen Wang; 13. Models of inductive reasoning Brett K. Hayes; 14. Analogy and similarity John E. Hummel, Leonidas A. A. Doumas; 15. Mental models and the algorithms of deduction Philip N. Johnson-Laird, Sangeet S. Khemlani; 16. Computational models of decision making Joseph G. Johnson, Jerome R. Busemeyer; 17. Computational models of skill acquisition Stellan Ohlsson; 18. Computational models of episodic memory Per B. Sederberg, Kevin P. Darby; 19. Computational neuroscientific models of working memory Thomas E. Hazy, Michael J. Frank, Randall C. O'Reilly; 20. Neurocomputational models of cognitive control Debbie M. Yee, Todd S. Braver; 21. Computational models of animal and human associative learning Evan J. Livesey; 22. Computational and cognitive models of reinforcement learning Kenji Doya; Volume 2: Part IV. Computational modeling in various cognitive fields: 23. Computational models of developmental psychology Thomas R. Shultz, Ardavan S. Nobandegani; 24. Computational models in personality and social psychology Stephen J. Read, Brian Monroe; 25. Computational modeling in industrial-organizational psychology Jeffrey B. Vancouver; 26. Computational modeling in psychiatry Cody J. Walters, Sophia Vinogradov, A. David Redish; 27. Computational psycholinguistics Matthew W. Crocker, Harm Brouwer; 28. Natural language understanding and generation Marjorie McShane, Sergei Nirenburg; 29. Computational models of creativity Sebastien Helie, Ana-Maria Olteteanu; 30. Computational models of emotion and cognition-emotion interaction Eva Hudlicka; 31. Computational approaches to morality Paul Bello, Bertram F. Malle; 32. Cognitive modeling in social simulation Ron Sun; 33. Cognitive modeling for cognitive engineering Matthew L. Bolton, Wayne D. Gray; 34. Modeling vision Lukas Vogelsang, Pawan Sinha; 35. Models of multi-level motor control Martin Giese, David Ungarish, Tamar Flash; Part V. General discussion: 36. Model validation, comparison and selection Leslie M. Blaha, Kevin A. Gluck; 37. Philosophical issues in computational cognitive sciences Mark Sprevak; 38. An evaluation of computational modeling in cognitive sciences Margaret A. Boden.
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Volume 1: Part I. Introduction: 1. An overview of computational cognitive sciences Ron Sun; Part II. Cognitive modeling paradigms: 2. Connectionist models of cognition Michael S. C. Thomas, James L. McClelland; 3. Bayesian models of cognition Thomas L. Griffiths, Charles Kemp, Joshua B. Tenenbaum; 4. Symbolic and hybrid models of cognition Tarek R. Besold, Kai-Uwe Kuehnberger; 5. Logic-Based modeling of cognition Selmer Bringsjord, Michael Giancola, Naveen Sundar Govindarajulu; 6. Dynamical systems approaches to cognition Gregor Schoener; 7. Quantum models of cognition Jerome R. Busemeyer, Emmanuel M. Pothos; 8. Constraints in cognitive architectures Niels Taatgen, John Anderson; 9. Deep learning Marco Gori, Frederic Precioso, Edmondo Trentin; 10. Reinforcement learning Kenji Doya; Part III. Computational modeling of basic cognitive functionalities: 11. Computational models of categorization Kenneth J. Kurtz; 12. Computational cognitive neuroscience models of categorization F. Gregory Ashby, Yi-Wen Wang; 13. Models of inductive reasoning Brett K. Hayes; 14. Analogy and similarity John E. Hummel, Leonidas A. A. Doumas; 15. Mental models and the algorithms of deduction Philip N. Johnson-Laird, Sangeet S. Khemlani; 16. Computational models of decision making Joseph G. Johnson, Jerome R. Busemeyer; 17. Computational models of skill acquisition Stellan Ohlsson; 18. Computational models of episodic memory Per B. Sederberg, Kevin P. Darby; 19. Computational neuroscientific models of working memory Thomas E. Hazy, Michael J. Frank, Randall C. O'Reilly; 20. Neurocomputational models of cognitive control Debbie M. Yee, Todd S. Braver; 21. Computational models of animal and human associative learning Evan J. Livesey; 22. Computational and cognitive models of reinforcement learning Kenji Doya; Volume 2: Part IV. Computational modeling in various cognitive fields: 23. Computational models of developmental psychology Thomas R. Shultz, Ardavan S. Nobandegani; 24. Computational models in personality and social psychology Stephen J. Read, Brian Monroe; 25. Computational modeling in industrial-organizational psychology Jeffrey B. Vancouver; 26. Computational modeling in psychiatry Cody J. Walters, Sophia Vinogradov, A. David Redish; 27. Computational psycholinguistics Matthew W. Crocker, Harm Brouwer; 28. Natural language understanding and generation Marjorie McShane, Sergei Nirenburg; 29. Computational models of creativity Sebastien Helie, Ana-Maria Olteteanu; 30. Computational models of emotion and cognition-emotion interaction Eva Hudlicka; 31. Computational approaches to morality Paul Bello, Bertram F. Malle; 32. Cognitive modeling in social simulation Ron Sun; 33. Cognitive modeling for cognitive engineering Matthew L. Bolton, Wayne D. Gray; 34. Modeling vision Lukas Vogelsang, Pawan Sinha; 35. Models of multi-level motor control Martin Giese, David Ungarish, Tamar Flash; Part V. General discussion: 36. Model validation, comparison and selection Leslie M. Blaha, Kevin A. Gluck; 37. Philosophical issues in computational cognitive sciences Mark Sprevak; 38. An evaluation of computational modeling in cognitive sciences Margaret A. Boden.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
