INTEGRATED MODELS OF COGNITIVE SYSTEMS Edited By WAYNE D. GRAY (HARDCOVER) (R)

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ISBN
9780195189193
EAN
9780195189193
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Product Identifiers

Publisher
Oxford University Press, Incorporated
ISBN-10
0195189191
ISBN-13
9780195189193
eBay Product ID (ePID)
57075747

Product Key Features

Number of Pages
496 Pages
Publication Name
Integrated Models of Cognitive Systems
Language
English
Subject
Cognitive Science, Cognitive Psychology & Cognition
Publication Year
2007
Type
Textbook
Subject Area
Science, Psychology
Author
Wayne D. Gray
Series
Oxford Series on Cognitive Models and Architectures Ser.
Format
Hardcover

Dimensions

Item Height
1.3 in
Item Weight
35.3 Oz
Item Length
7 in
Item Width
10.1 in

Additional Product Features

Intended Audience
Scholarly & Professional
LCCN
2006-021297
eBook Format
Unspecified
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, "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 ofthe art, and point the way toward exciting future progress." --Richard M. Shiffrin, Luther Dana Waterman Professor of Psychology, Indiana University, "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, . . . [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 anadmirable 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 selectionand task management. --Christopher D. Wickens, Senior Scientist, Alion Science and Technology MAandD Operation|9780195189193|, "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 thoseaddressing 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, "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, "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, "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 mindand environment. A stimulating, comprehensive set of readings composed by excellent researchers." --Gerd Gigerenzer, Director, Max Planck Institute for Human Development, Berlin, "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
Dewey Edition
22
Series Volume Number
1
Illustrated
Yes
Dewey Decimal
153.01/13
Table Of Content
1. Composition and Control of Integrated Cognitive Systems2. Cognitive Control in a Computational Model of the Predator Pilot3. Some History of Human Performance Modeling4. Using Brain Imaging to Guide the Development of a Cognitive Architecture5. The Motivational and Metacognitive Control in CLARION6. Reasoning as Cognitive Self-Regulation7. Construction/Integration Architecture: Dynamic Adaptation to Task Constraints8. Guided Search 4.0: Current Progress with a model of visual search9. Advancing Area Activation towards a General Model of Eye Movements in Visual Search10. The Modeling and Control of Visual Perception11. From disintegrated architectures of cognition to an integrated heuristic toolbox12. A Rational-Ecological Approach to the Exploration-Exploitation Tradeoffs: Bounded Rationality and Suboptimal Performance13. Sequential dependencies in human behavior offer insights into cognitive control14. Ecological Resources for Modeling Interactive Behavior and Embedded Cognition15. Integrating Emotional Processes into Decision Making Models16. The Architectural Role of Emotion in Cognitive Systems17. Decreased Arousal as a Result of Sleep Deprivation18. Lessons from Defining Theories of Stress for Cognitive Architectures19. Reasons for Emotions: Modeling Emotions in Integrated Cognitive Systems20. On the Role of Embodiment in Modeling Natural Behaviors21. Questions Without Words: A Comparison Between Decision Making Under Risk and Movement Planning Under Risk22. Toward an Integrated, Comprehensive Theory of Visual Search
Synopsis
The field of cognitive modelling has progressed beyond modelling cognition in the context of simple laboratory tasks and begun to attack the problem of modelling cognition in more complex, realistic environments, such as those studied by researchers in the field of human-factors. The problems that the human-factors community is tackling focus on modelling certain problems of communication and control that arise in the integration of implicit and explicit knowledge, emotion, and cognition, and the cognitive system with the external environment. These problems must be addressed in order to produce 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 harvesting the results of 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 the structure, functionality, and operation of the controller, and type 2 theories of the internal control of functional processes, how, and what they communicate to the controller. This volume presents, for both types of theories, the current state of the art, as well as contrasts among current approaches to human-performance models., 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 the cognitive 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 to produce 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 harvesting the 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 the structure, 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 current approaches 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, Hansj rg Neth, Jeremy M Wolfe, Marc Pomplun, Ronald A. Rensink, Hansj rg 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, Hansj rg Neth, Christopher W. Myers, Dana Ballard, Nathan Sprague, Laurence T. Maloney, Julia Trommersh user, 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, 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 cognition in more complex, realistic environments, such as those studied by researchers in the field of human-fators. The problems that the human-factors community is tackling focus on modeling certain problems of communication and control that arise in the integration of implicit and explicit knowledge, emotion, and cognition, and the cognitive system with the external environment. These problems must be addressed in order to produce integrated cognitive models of moderately complex tasks. This volume presents, for the two main theories of control, the current state of the art, as well as contrasts among current approaches to human-performance models., 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 the cognitive 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 to produce 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 harvesting the 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 the structure, 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 current approaches 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, Hansjörg Neth, Jeremy M Wolfe, Marc Pomplun, Ronald A. Rensink, Hansjörg 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, Hansjörg Neth, Christopher W. Myers, Dana Ballard, Nathan Sprague, Laurence T. Maloney, Julia Trommershäuser, 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, 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 the cognitive 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 to produce 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 harvesting the 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 the structure, 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 current approaches 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, Hansjörg Neth, Jeremy M Wolfe, Marc Pomplun, Ronald A. Rensink, Hansjörg 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, Hansjörg Neth, Christopher W. Myers, Dana Ballard, Nathan Sprague, Laurence T. Maloney, Julia Trommershäuser, 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
LC Classification Number
BF311.I554 2007

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