Gray, W. D. (Ed.). (2007). Integrated models of cognitive systems. New York: Oxford University Press. (ISBN13: 9780195189193)
Integrated Models of Cognitive Systems
[FROM THE EDITOR'S PREFACE] It is with pleasure that I introduce researchers, teachers, and students to this volume on Integrated Models of Cognitive Systems. All such volumes present a snapshot of the time in which they are created; it is the intent of the contributors that this snapshot will grace a postcard to the future.
The history of cognitive studies is a history of trying to understand the mind by slicing and dicing it into functional components and trying to thoroughly understand each component. Throughout time the size of the components has gotten smaller and their shape has varied considerably with the result that what was a whole, the human mind, has now become a jigsaw puzzle of oddly shaped parts. The emphasis on cognitive systems is an emphasis on how these pieces fit together to achieve “complete processing models” (Newell, 1973) or “activity producing subsystems” (Brooks, 1991). An emphasis on integrated models is an emphasis that recognizes that the cognitive system is too large and complex for a single researcher or laboratory to model and that progress can only be made by developing our various parts so that they can fit together with the parts developed by other researchers in other laboratories.
As Editor it is my duty and pleasure to write a preface to this volume. I view my task as providing a succinct summary of how this volume came to be, an equally succinct overview of the volume, and thanks to the many people whose efforts contributed to its production and to the success of the workshop on which the volume is based. I will, however, avoid in this Preface a more detailed discussion of integrated models of cognitive systems. That discussion is provided by Chapter 1 of this volume and continues throughout the collective work.
NOTE:
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Download Preface Download Table of ContentsSection # |
Section Title |
Chapter # |
Author |
Chapter Title |
Preface | Gray | Preface | ||
1 | Beginnings | |||
introduction | Gray | Beginnings | ||
1 | Gray | Composition and Control of Integrated Cognitive Systems | ||
2 | Gluck, Ball, and Krusmark | Cognitive Control in a Computational Model of the Predator Pilot | ||
3 | Pew | SOME HISTORY OF HUMAN PERFORMANCE MODELING | ||
2 | Systems for Modeling Integrated Cognitive Systems | |||
introduction | Sims & Veksler | Systems-level theories in computational cognitive modeling | ||
4 | Anderson | Using Brain Imaging to Guide the Development of a Cognitive Architecture | ||
5 | Sun | The Motivational and Metacognitive Control in CLARION | ||
6 | Cassimatis | Reasoning as Cognitive Self-Regulation | ||
7 | Brou, Egerton, and Doane | Construction / Integration Architecture: Dynamic Adaptation to Task Constraints | ||
3 | Visual Attention & Perception | |||
introduction | Myers & Neth | |||
8 | Wolf | Guided Search 4.0: Current Progress with a model of visual search | ||
9 | Pomplun | Advancing Area Activation towards a General Model of Eye Movements in Visual Search | ||
10 | Rensink | The Modeling and Control of Visual Perception | ||
4 | Environmental Constraints on Integrated Cognitive Systems | |||
introduction | Neth & Sims | Environmental Constraints on Integrated Cognitive Systems | ||
11 | Todd & Schooler | From disintegrated architectures of cognition to an integrated heuristic toolbox | ||
12 | Fu | A Rational-Ecological Approach to the Exploration-Exploitation Tradeoffs: Bounded Rationality and Suboptimal Performance | ||
13 | Mozer, Sachiko, Kinoshita, & Shettel | Sequential dependencies in human behavior offer insights into cognitive control | ||
14 | Kirlik | Ecological Resources for Modeling Interactive Behavior and Embedded Cognition | ||
5 | Integrating Emotions, Motivation, Arousal into Models of Cognitive Systems | |||
introduction | Veksler & Schoelles | Integrating Emotions, Motivation, Arousal into Models of Cognitive Systems | ||
15 | Busemeyer, Dimperio, & Jessup | Integrating Emotional Processes into Decision Making Models | ||
16 | Gratch & Marsella | The Architectural Role of Emotion in Cognitive Systems | ||
17 | Gunzelman, Price, Van Dongen, & Dinges | Decreased Arousal as a Result of Sleep Deprivation: The Unraveling of Cognitive Control | ||
18 | Ritter, Reifers, Klein, & Schoelles | Lessons from Defining Theories of Stress for Cognitive Architectures | ||
19 | Hudlicka | Reasons for Emotions: Modeling Emotions in Integrated Cognitive Systems | ||
6 | Modeling Embodiment in Integrated Cognitive Systems | |||
introduction | Neth & Myers | Modeling Embodiment in Integrated Cognitive Systems | ||
20 | Ballard & Sprague | On the Role of Embodiment in Modeling Natural Behaviors | ||
21 | Maloney, Trommershäuser, & Landy | QUESTIONS WITHOUT WORDS: A COMPARISON BETWEEN DECISION MAKING UNDER RISK AND MOVEMENT PLANNING UNDER RISK | ||
22 | Hornof | Toward an Integrated, Comprehensive Theory of Visual Search | ||
7 | Coordinating Tasks through Goals and Intentions | |||
introduction | Schoelles | Introduction to Coordinating Tasks Through Goals and Intentions | ||
23 | Kieras | Control of Cognition | ||
24 | Salvucci | Integrated Models of Driver Behavior | ||
25 | Taatgen | The Minimal Control Principle | ||
26 | Altmann | Control Signals and Goal-Directed Behavior | ||
27 | Carlson | Intentions, Errors, and Experience | ||
8 | Tools for Advancing Integrated Models of Cognitive Systems | |||
Introduction | Gray | Tools for Advancing Integrated Models of Cognitive Systems | ||
28 | Howes, Lewis, & Vera | Bounding Rational Analysis: Constraints on Asymptotic Performance | ||
29 | Cooper | Integrating Cognitive Systems: The COGENT Approach | ||
9 | Afterword | |||
Introduction | Gray | Afterword | ||
30 | Byrne | Local theories vs. comprehensive architectures: The cognitive science jigsaw puzzle |
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