- 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
The Modeling and Control of Visual Perception
The Modeling and Control of Visual Perception
- Chapter:
- (p.132) 10 The Modeling and Control of Visual Perception
- Source:
- Integrated Models of Cognitive Systems
- Author(s):
Ronald A. Rensink
- Publisher:
- Oxford University Press
Recent developments in vision science have resulted in several major changes in our understanding of human visual perception. For example, attention no longer appears necessary for “visual intelligence” — a large amount of sophisticated processing can be done without it. Scene perception no longer appears to involve static, general-purpose descriptions but instead may involve dynamic representations whose content depends on the individual and the task. And vision itself no longer appears to be limited to the production of a conscious “picture” — it may also guide processes outside the conscious awareness of the observer. This chapter explores some of these new developments and discusses their potential implications for the modeling and control of vision. It focuses on the emerging view that visual perception involves the sophisticated coordination of several quasi-independent systems, each with its own intelligence. It considers several consequences of this view, including new possibilities for human-machine interaction.
Keywords: visual perception, visual intelligence, vision, quasi-independent systems, human-machine interaction, modeling, control, attention
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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
