- 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
Integrating Emotional Processes into Decision-Making Models
Integrating Emotional Processes into Decision-Making Models
- Chapter:
- (p.213) 15 Integrating Emotional Processes into Decision-Making Models
- Source:
- Integrated Models of Cognitive Systems
- Author(s):
Jerome R. Busemeyer
Eric Dimperio
Ryan K. Jessup
- Publisher:
- Oxford University Press
The role attributed to emotion in behavior has waxed and waned throughout the preceding century. When the recent cognitive revolution hit, theories of mental processes treated the brain as a computer. Models lost sight of the motivations and desires that went into thinking. This chapter reviews research demonstrating an influential role for motivation and emotion in decision making. Based on these findings, a formal model is presented for the selection of goals that integrates emotion and cognition into the decision-making process. This model is a natural extension of decision field theory, which has been successfully used to explain data in traditional decision-making tasks. This model assumes that emotions, motivations, and cognitions interact to produce a decision, as opposed to being processed independently and in parallel. By allowing emotion and cognition to coexist in a single process, this chapter demonstrates a testable model that is consistent with existing findings.
Keywords: emotion, behavior, motivation, decision making, goals, cognition, decision field theory, decision
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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