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Integrated Models of Cognitive Systems
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Table of Contents

Section I: Beginnings:
1: Wayne D. Gray: Composition and Control of Integrated Cognitive Systems
2: Kevin A. Gluck, Jerry T. Ball, and Michael A. Krusmark: Cognitive Control in a Computational Model of the Predator Pilot
3: Richard W. Pew: Some History of Human Performance Modeling
Section 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 Architecture
5: Ron Sun: The Motivational and Metacognitive Control in CLARION
6: Nicholas L. Cassimatis: Reasoning as Cognitive Self-Regulation
7: Randy J. Brou, Andrew D. Egerton, & Stephanie M. Doane: Construction/Integration Architecture: Dynamic Adaptation to Task Constraints
Section III: Visual Attention and Perception: Christopher W. Myers and Hansjörg Neth:
8: Jeremy M. Wolfe: Guided Search 4.0: Current Progress with a model of visual search
9: Marc Pomplun: Advancing Area Activation towards a General Model of Eye Movements in Visual Search
10: Ronald A. Rensink: The Modeling and Control of Visual Perception
Section IV: Task Environment:
Introduction: Environmental Constraints on Integrated Cognitive Systems: Hansjörg Neth & Chris R. Sims:
11: Peter M. Todd and Lael J. Schooler: From disintegrated architectures of cognition to an integrated heuristic toolbox
12: Wai-Tat Fu: A Rational-Ecological Approach to the Exploration-Exploitation Tradeoffs: Bounded Rationality and Suboptimal Performance
13: Michael C. Mozer, Sachiko Kinoshita, and Michael Shettel: Sequential dependencies in human behavior offer insights into cognitive control
14: Alex Kirlik: Ecological Resources for Modeling Interactive Behavior and Embedded Cognition
Section V: Emotion:
INTRODUCTION: Integrating Emotions, Motivation, and Arousal in Cognitive Systems: Vladislav D. Veksler & Michael J. Schoelles:
15: Jerome R. Busemeyer, Eric Dimperio, and Ryan K. Jessup: Integrating Emotional Processes into Decision Making Models
16: Jonathan Gratch and Stacy Marsella: The Architectural Role of Emotion in Cognitive Systems
17: Glenn Gunzelmann, Kevin A. Gluck, Scott Price, Hans P. A. Van Dongen, and David F. Dinges: Decreased Arousal as a Result of Sleep Deprivation
18: Frank E. Ritter, Andrew L. Reifers, Laura Cousino Klein, Michael J. Schoelles: Lessons from Defining Theories of Stress for Cognitive Architectures
19: Eva Hudlicka: Reasons for Emotions: Modeling Emotions in Integrated Cognitive Systems
Section VI: Embodied Cognition:
20: Dana Ballard and Nathan Sprague: On the Role of Embodiment in Modeling Natural Behaviors
21: LAURENCE T. MALONEY, JULIA TROMMERSHÄUSER, AND MICHAEL S. LANDY: Questions Without Words: A Comparison Between Decision Making Under Risk and Movement Planning Under Risk
22: A. Hornof: Toward an Integrated, Comprehensive Theory of Visual Search

About the Author

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 Science at Rensselaer Polytechnic Institute. Dr. Gray is a past Chair of the Cognitive Science Society and the
founding Chair of the Human Performance Modeling technical group of the Human Factor & Ergonomics Society.

Reviews

"At a time when neuroscience attempts to localize cognitive processes inside the head, cognitive science finally looks outside the mind for an integrated view of cognition. The essays in this significant and fascinating book focus on the computational modeling of the interaction between mind and environment. A stimulating, comprehensive set of readings composed by excellent researchers." --Gerd Gigerenzer, Director, Max Planck Institute for Human Development,
Berlin
"This volume provides insight into the current and enduring tensions among the research communities attempting to understand human performance and the cognitive functions underlying it . . ." --Susan F. Chipman, Manager, Cognitive Science Program at the U.S. Office of Naval Research
"This book reveals the great progress being made in the field of cognitive science . . . The current volume brings together the best and brightest of mathematical modelers with those computational cognitive modelers whose focus is on integrated cognitive systems; the results show the state of the art, and point the way toward exciting future progress." --Richard M. Shiffrin, Luther Dana Waterman Professor of Psychology, Indiana University
"A must-read for students of the human mind. A whos who in cognitive science describes the systems approach to understanding for practitioners not just of psychology but of computer science, artificial intelligence, and neural science." --John Tangney
". . . [Gray] has provided a valuable framework in which models can be accommodated and integrated with a diversity ranging from those of the unmanned air vehicle operator or highway driver to those addressing the millisecond timing of attention switching. . . . The volume also does an admirable job in bringing applied researchers together with those interested in more basic cognitive phenomena, in a way that equally serves the interests of applications, and of
advancing the fundamental theory of how the brain performs operations of perception, problem solving, action selection and task management." --Christopher D. Wickens, Senior Scientist, Alion Science
and Technology MA&D Operation
"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
"At a time when neuroscience attempts to localize cognitive processes inside the head, cognitive science finally looks outside the mind for an integrated view of cognition. The essays in this significant and fascinating book focus on the computational modeling of the interaction between mind and environment. A stimulating, comprehensive set of readings composed by excellent researchers." --Gerd Gigerenzer, Director, Max Planck Institute for Human Development,
Berlin
"This volume provides insight into the current and enduring tensions among the research communities attempting to understand human performance and the cognitive functions underlying it . . ." --Susan F. Chipman, Manager, Cognitive Science Program at the U.S. Office of Naval Research
"This book reveals the great progress being made in the field of cognitive science . . . The current volume brings together the best and brightest of mathematical modelers with those computational cognitive modelers whose focus is on integrated cognitive systems; the results show the state of the art, and point the way toward exciting future progress." --Richard M. Shiffrin, Luther Dana Waterman Professor of Psychology, Indiana University
"A must-read for students of the human mind. A whos who in cognitive science describes the systems approach to understanding for practitioners not just of psychology but of computer science, artificial intelligence, and neural science." --John Tangney
". . . [Gray] has provided a valuable framework in which models can be accommodated and integrated with a diversity ranging from those of the unmanned air vehicle operator or highway driver to those addressing the millisecond timing of attention switching. . . . The volume also does an admirable job in bringing applied researchers together with those interested in more basic cognitive phenomena, in a way that equally serves the interests of applications, and of
advancing the fundamental theory of how the brain performs operations of perception, problem solving, action selection and task management. --Christopher D. Wickens, Senior Scientist, Alion Science
and Technology MA&D Operation

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