- Title Pages
- The Rise of Cognitive Architectures
- Preface
- Contributors
- Part I Beginnings
- 1 Composition and Control of Integrated Cognitive Systems
- 2 Cognitive Control in a Computational Model of the Predator Pilot
- 3 Some History of Human Performance Modeling
- PART II Systems for Modeling Integrated Cognitive Systems
- 4 Using Brain Imaging to Guide the Development of a Cognitive Architecture
- 5 The Motivational and Metacognitive Control in CLARION
- 6 Reasoning as Cognitive Self-Regulation
- 7 Construction/Integration Architecture
- Part III Visual Attention and Perception
- 8 Guided Search 4.0
- 9 Advancing Area Activation toward a General Model of Eye Movements in Visual Search
- 10 The Modeling and Control of Visual Perception
- Part IV Environmental Constraints on Integrated Cognitive Systems
- 11 From Disintegrated Architectures of Cognition to an Integrated Heuristic Toolbox
- 12 A Rational–Ecological Approach to the Exploration/Exploitation Trade-Offs
- 13 Sequential Dependencies in Human Behavior Offer Insights into Cognitive Control
- 14 Ecological Resources for Modeling Interactive Behavior and Embedded Cognition
- Part V Integrating Emotions, Motivation, Arousal into Models of Cognitive Systems
- 15 Integrating Emotional Processes into Decision-Making Models
- 16 The Architectural Role of Emotion in Cognitive Systems
- 17 Decreased Arousal as a Result of Sleep Deprivation
- 18 Lessons from Defining Theories of Stress for Cognitive Architectures
- 19 Reasons for Emotions
- PART VI Modeling Embodiment in Integrated Cognitive Systems
- 20 On the Role of Embodiment in Modeling Natural Behaviors
- 21 Questions without Words
- 22 Toward an Integrated, Comprehensive Theory of Visual Search
- Part VII Coordinating Tasks Through Goals and Intentions
- 23 Control of Cognition
- 24 Integrated Models of Driver Behavior
- 25 The Minimal Control Principle
- 26 Control Signals and Goal-Directed Behavior
- 27 Intentions, Errors, and Experience
- PART VIII Tools for Advancing Integrated Models of Cognitive Systems
- 28 Bounding Rational Analysis
- 29 Integrating Cognitive Systems
- Part IX Afterword
- 30 Local Theories versus Comprehensive Architectures
- Author Index
- Subject Index
Guided Search 4.0
Guided Search 4.0
Current Progress with a Model of Visual Search
- Chapter:
- (p.99) 8 Guided Search 4.0
- Source:
- Integrated Models of Cognitive Systems
- Author(s):
Jeremy M. Wolfe
- Publisher:
- Oxford University Press
Visual input is processed in parallel in the early stages of the visual system. Later, object recognition processes are also massively parallel, matching a visual object with a vast array of stored representation. A tight bottleneck in processing lies between these stages. It permits only one or a few visual objects at any one time to be submitted for recognition. That bottleneck limits performance on visual search tasks when an observer looks for one object in a field containing distracting objects. Guided Search is a model of the workings of that bottleneck. It proposes that a limited set of attributes, derived from early vision, can be used to guide the selection of visual objects. The bottleneck and recognition processes are modeled using an asynchronous version of a diffusion process. The current version (Guided Search 4.0) captures a range of empirical findings.
Keywords: Guided Search 4.0, visual input, object recognition, visual search, bottleneck, visual objects, diffusion, early vision
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- Title Pages
- The Rise of Cognitive Architectures
- Preface
- Contributors
- Part I Beginnings
- 1 Composition and Control of Integrated Cognitive Systems
- 2 Cognitive Control in a Computational Model of the Predator Pilot
- 3 Some History of Human Performance Modeling
- PART II Systems for Modeling Integrated Cognitive Systems
- 4 Using Brain Imaging to Guide the Development of a Cognitive Architecture
- 5 The Motivational and Metacognitive Control in CLARION
- 6 Reasoning as Cognitive Self-Regulation
- 7 Construction/Integration Architecture
- Part III Visual Attention and Perception
- 8 Guided Search 4.0
- 9 Advancing Area Activation toward a General Model of Eye Movements in Visual Search
- 10 The Modeling and Control of Visual Perception
- Part IV Environmental Constraints on Integrated Cognitive Systems
- 11 From Disintegrated Architectures of Cognition to an Integrated Heuristic Toolbox
- 12 A Rational–Ecological Approach to the Exploration/Exploitation Trade-Offs
- 13 Sequential Dependencies in Human Behavior Offer Insights into Cognitive Control
- 14 Ecological Resources for Modeling Interactive Behavior and Embedded Cognition
- Part V Integrating Emotions, Motivation, Arousal into Models of Cognitive Systems
- 15 Integrating Emotional Processes into Decision-Making Models
- 16 The Architectural Role of Emotion in Cognitive Systems
- 17 Decreased Arousal as a Result of Sleep Deprivation
- 18 Lessons from Defining Theories of Stress for Cognitive Architectures
- 19 Reasons for Emotions
- PART VI Modeling Embodiment in Integrated Cognitive Systems
- 20 On the Role of Embodiment in Modeling Natural Behaviors
- 21 Questions without Words
- 22 Toward an Integrated, Comprehensive Theory of Visual Search
- Part VII Coordinating Tasks Through Goals and Intentions
- 23 Control of Cognition
- 24 Integrated Models of Driver Behavior
- 25 The Minimal Control Principle
- 26 Control Signals and Goal-Directed Behavior
- 27 Intentions, Errors, and Experience
- PART VIII Tools for Advancing Integrated Models of Cognitive Systems
- 28 Bounding Rational Analysis
- 29 Integrating Cognitive Systems
- Part IX Afterword
- 30 Local Theories versus Comprehensive Architectures
- Author Index
- Subject Index
