The Cambridge handbook of computational psychology / [electronic resource]
Credo Reference (Firm)
Sun, Ron,1960-editor.
This book is a definitive reference source for the growing, increasingly more important, and interdisciplinary field of computational cognitive modeling, that is, computational psychology. It combines breadth of coverage with definitive statements by leading scientists in this field. Research in computational cognitive modeling explores the essence of cognition and various cognitive functionalities through developing detailed, process-based understanding by specifying computational mechanisms, structures, and processes. Given the complexity of the human mind and its manifestation in behavioral flexibility, process-based computational models may be necessary to explicate and elucidate the intricate details of the mind. The key to understanding cognitive processes is often in fine details. Computational models provide algorithmic specificity: detailed, exactly specified, and carefully thought-out steps, arranged in precise yet flexible sequences. These models provide both conceptual clarity and precision at the same time. This book substantiates this approach through overviews and many examples.
Cover; Half-title; Title; Copyright; Contents; Preface; List of Contributors; Part I Introduction; Chapter 1. Introduction to computational cognitive modeling; Part II Cognitive Modeling Paradigms; Chapter 2. Connectionist models of cognition; Chapter 3. Bayesian models of cognition; Chapter 4. dynamical systems approaches to cognition; Chpater 5. Declarative/logic-based cognitive modeling; Chapter 6 Constraints in cognitive architectures; Part III Computational Modeling of Various Cognitive Functionalitiesand Domains; Chapter 7. Computational models of episodic memory
Chapter 8. Computational models of semantic memoryChapter 9. Models of categorization; Chapter 10. Micro-process models of decision making; Chapter 11. Models of inductive reasoning; Chapter 12. Simulations of human deductive reasoning; Chapter 13. Computational models of skill acquisition; Chapter 14. Computational models of implicit learning; Chapter 15. Computational models of attention and cognitive control; Chapter 16. Computational models of developmental psychology; Chapter 17. Computational models of psycholinguistics
Chapter 18. Computational models in personality and social psychologyChapter 19. Cognitive social simulation; Chapter 20. Models of scientific explanation; Chapter 21. Cognitive modeling for cognitive engineering; Chapter 22. models of animal and human learning; Chapter 23. Computational modeling of visual information processing; Chapter 24. Models of motor control; Part IV Concluding Remarks; Chapter 25. Computational modeling in cognitive science; Chapter 26. Putting the pieces together again; Author Index; Subject Index
Mode of access: World Wide Web.
Includes bibliographical references and indexes.
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
This book is a definitive reference source for the growing, increasingly more important, and interdisciplinary field of computational cognitive modeling, that is, computational psychology. It combines breadth of coverage with definitive statements by leading scientists in this field. Research in computational cognitive modeling explores the essence of cognition and various cognitive functionalities through developing detailed, process-based understanding by specifying computational mechanisms, structures, and processes. Given the complexity of the human mind and its manifestation in behavioral flexibility, process-based computational models may be necessary to explicate and elucidate the intricate details of the mind. The key to understanding cognitive processes is often in fine details. Computational models provide algorithmic specificity: detailed, exactly specified, and carefully thought-out steps, arranged in precise yet flexible sequences. These models provide both conceptual clarity and precision at the same time. This book substantiates this approach through overviews and many examples.
Cognition.
Cognitive science.
Philosophy of mind.


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