- 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
From Disintegrated Architectures of Cognition to an Integrated Heuristic Toolbox
From Disintegrated Architectures of Cognition to an Integrated Heuristic Toolbox
- Chapter:
- (p.151) 11 From Disintegrated Architectures of Cognition to an Integrated Heuristic Toolbox
- Source:
- Integrated Models of Cognitive Systems
- Author(s):
Peter M. Todd
Lael J. Schooler
- Publisher:
- Oxford University Press
This chapter demonstrates how grand unified theories of cognition can be combined with the idea that the mind is a collection of disparate simple mechanisms. It first describes the “adaptive toolbox” model of the mind put forth by Gigerenzer and colleagues: a collection of simple heuristic mechanisms that can be used to good effect on particular tasks and in particular environments. This model is aimed at describing how humans (and other animals) can make good decisions despite the limitations that we face in terms of information, time, and cognitive processing ability — namely, by employing ecological rationality, that is, using heuristics that are fit to the structure of information in different task environments, and letting the environment itself exert significant control over what components of cognition are employed. Yet such a disintegrated and externally driven view of cognition can still ultimately come together within an integrated model of a cognitive system, as this chapter shows via an implementation within the ACT-R (adaptive control of thought-rational) cognitive architecture of two simple decision heuristics that exploit patterns of recognition and familiarity information.
Keywords: cognition, mind, adaptive toolbox model, cognitive processing, ecological rationality, heuristics, integrated model, cognitive system, cognitive architecture, recognition
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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
