Integrated Models Of Cognitive Systems

Hardcover | May 31, 2007

EditorWayne D. Gray

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The field of cognitive modeling has progressed beyond modeling cognition in the context of simple laboratory tasks and begun to attack the problem of modeling it in more complex, realistic environments, such as those studied by researchers in the field of human factors. The problems that thecognitive modeling community is tackling focus on modeling certain problems of communication and control that arise when integrating with the external environment factors such as implicit and explicit knowledge, emotion, cognition, and the cognitive system. These problems must be solved in order toproduce integrated cognitive models of moderately complex tasks. Architectures of cognition in these tasks focus on the control of a central system, which includes control of the central processor itself, initiation of functional processes, such as visual search and memory retrieval, and harvestingthe results of these functional processes. Because the control of the central system is conceptually different from the internal control required by individual functional processes, a complete architecture of cognition must incorporate two types of theories of control: Type 1 theories of thestructure, functionality, and operation of the controller, and type 2 theories of the internal control of functional processes, including how and what they communicate to the controller. This book presents the current state of the art for both types of theories, as well as contrasts among currentapproaches to human-performance models. It will be an important resource for professional and student researchers in cognitive science, cognitive-engineering, and human-factors.Contributors: Kevin A. Gluck, Jerry T. Ball, Michael A. Krusmark, Richard W. Pew, Chris R. Sims, Vladislav D. Veksler, John R. Anderson, Ron Sun, Nicholas L. Cassimatis, Randy J. Brou, Andrew D. Egerton, Stephanie M. Doane, Christopher W. Myers, Hansjorg Neth, Jeremy M Wolfe, Marc Pomplun, Ronald A.Rensink, Hansjorg Neth, Chris R. Sims, Peter M. Todd, Lael J. Schooler, Wai-Tat Fu, Michael C. Mozer, Sachiko Kinoshita, Michael Shettel, Alex Kirlik, Vladislav D. Veksler, Michael J. Schoelles, Jerome R. Busemeyer, Eric Dimperio, Ryan K. Jessup, Jonathan Gratch, Stacy Marsella, Glenn Gunzelmann,Kevin A. Gluck, Scott Price, Hans P. A. Van Dongen, David F. Dinges, Frank E. Ritter, Andrew L. Reifers, Laura Cousino Klein, Michael J. Schoelles, Eva Hudlicka, Hansjorg Neth, Christopher W. Myers, Dana Ballard, Nathan Sprague, Laurence T. Maloney, Julia Trommershauser, Michael S. Landy, A. Hornof,Michael J. Schoelles, David Kieras, Dario D. Salvucci, Niels Taatgen, Erik M. Altmann, Richard A. Carlson, Andrew Howes, Richard L. Lewis, Alonso Vera, Richard P. Cooper, and Michael D. Byrne

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The field of cognitive modeling has progressed beyond modeling cognition in the context of simple laboratory tasks and begun to attack the problem of modeling it in more complex, realistic environments, such as those studied by researchers in the field of human factors. The problems that thecognitive modeling community is tackling focu...

Wayne D. Gray is a researcher in the fields of computational cognitive modeling, interactive behavior, cognitive task analysis, cognitive workload, and human error. Since earning his Ph.D. from U. C. Berkeley he has worked for both government and industry laboratories, as well as universities. He is currently a Professor of Cognitive ...
Format:HardcoverDimensions:496 pages, 7.01 × 10.12 × 1.3 inPublished:May 31, 2007Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0195189191

ISBN - 13:9780195189193

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Table of Contents

Section I: Beginnings. 1. Wayne D. Gray: Composition and Control of Integrated Cognitive Systems2. Kevin A. Gluck, Jerry T. Ball, and Michael A. Krusmark: Cognitive Control in a Computational Model of the Predator Pilot3. Richard W. Pew: Some History of Human Performance ModelingSection II: Systems. Introduction: Systems-level theories in computational cognitive modeling. Chris R. Sims and Vladislav D. Veksler: 4. John R. Anderson: Using Brain Imaging to Guide the Development of a Cognitive Architecture5. Ron Sun: The Motivational and Metacognitive Control in CLARION6. Nicholas L. Cassimatis: Reasoning as Cognitive Self-Regulation7. Randy J. Brou, Andrew D. Egerton, and Stephanie M. Doane: Construction/Integration Architecture: Dynamic Adaptation to Task ConstraintsSection III: Visual Attention and Perception. Christopher W. Myers and Hansjorg Neth: 8. Jeremy M. Wolfe: Guided Search 4.0: Current Progress with a model of visual search9. Marc Pomplun: Advancing Area Activation towards a General Model of Eye Movements in Visual Search10. Ronald A. Rensink: The Modeling and Control of Visual PerceptionSection IV: Task Environment. Introduction: Environmental Constraints on Integrated Cognitive Systems. Hansjorg Neth and Chris R. Sims: 11. Peter M. Todd and Lael J. Schooler: From disintegrated architectures of cognition to an integrated heuristic toolbox12. Wai-Tat Fu: A Rational-Ecological Approach to the Exploration-Exploitation Tradeoffs: Bounded Rationality and Suboptimal Performance13. Michael C. Mozer, Sachiko Kinoshita, and Michael Shettel: Sequential dependencies in human behavior offer insights into cognitive control14. Alex Kirlik: Ecological Resources for Modeling Interactive Behavior and Embedded CognitionSection V: Emotion. INTRODUCTION: Integrating Emotions, Motivation, and Arousal in Cognitive Systems. Vladislav D. Veksler and Michael J. Schoelles: 15. Jerome R. Busemeyer, Eric Dimperio, and Ryan K. Jessup: Integrating Emotional Processes into Decision Making Models16. Jonathan Gratch and Stacy Marsella: The Architectural Role of Emotion in Cognitive Systems17. Glenn Gunzelmann, Kevin A. Gluck, Scott Price, Hans P. A. Van Dongen, and David F. Dinges: Decreased Arousal as a Result of Sleep Deprivation18. Frank E. Ritter, Andrew L. Reifers, Laura Cousino Klein, Michael J. Schoelles: Lessons from Defining Theories of Stress for Cognitive Architectures19. Eva Hudlicka: Reasons for Emotions: Modeling Emotions in Integrated Cognitive SystemsSection VI: Embodied Cognition. 20. Dana Ballard and Nathan Sprague: On the Role of Embodiment in Modeling Natural Behaviors21. LAURENCE T. MALONEY, JULIA TROMMERSHAUSER, AND MICHAEL S. LANDY: Questions Without Words: A Comparison Between Decision Making Under Risk and Movement Planning Under Risk22. A. Hornof: Toward an Integrated, Comprehensive Theory of Visual Search

Editorial Reviews

"Integrated Models of Cognitive Systems is an important book. It is strongly recommended to those interested in cognition as well as to those interested in applications of cognitive theory to human factos and engineering psychology." --PsycCRITIQUES