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Informationen zum Autor Dr. Ron Sun is Professor of Cognitive Sciences at Rensselaer Polytechnic Institute. A well-known cognitive scientist, Ron Sun explores the fundamental structures of the human mind. He aims for the synthesis of many intellectual ideas into a coherent model of the human mind. The goal is to come up with a cognitive architecture that captures a variety of psychological processes and provides unified explanations of a wide range of data and phenomena. Klappentext This book aims to understand human cognition and psychology through a comprehensive computational theory of the mind, namely, a "cognitive architecture." Zusammenfassung This book aims to understand human cognition and psychology through a comprehensive computational theory of the human mind, namely, a computational "cognitive architecture" (or more specifically, the CLARION cognitive architecture). The goal of this work is to develop a unified framework for understanding the human mind, and within the unified framework, to develop process-based, mechanistic explanations of a large variety of psychological phenomena. Specifically, the book first describes the essential CLARION framework and its cognitive-psychological justifications, then its computational instantiations, and finally its applications to capturing, simulating, and explaining various psychological phenomena and empirical data. The book shows how the models and simulations shed light on psychological mechanisms and processes through the lens of a unified framework.In fields ranging from cognitive science, to psychology, to artificial intelligence, and even to philosophy, researchers, graduate and undergraduate students, and practitioners of various kinds may have interest in topics covered by this book. The book may also be suitable for seminars or courses, at graduate or undergraduate levels, on cognitive architectures or cognitive modeling (i.e. computational psychology). Inhaltsverzeichnis Table of Contents Preface Chapter 1. What is A Cognitive Architecture? 1.1. A Theory of the Mind and Beyond 1.2. Why Computational Models/Theories? 1.3. Questions about Computational Models/Theories 1.4. Why a Computational Cognitive Architecture? 1.5. Why CLARION? 1.6. Why This Book? 1.7. A few Fundamental Issues 1.7.1. Ecological-Functional Perspective 1.7.2. Modularity 1.7.3. Multiplicity of Representation 1.7.4. Dynamic Interaction 1.8. Concluding Remarks Chapter 2. Essential Structures of the Mind 2.1. Essential Desiderata 2.2. An Illustration of the Desiderata 2.3. Justifying the Desiderata 2.3.1. Implicit-Explicit Dichotomy and Synergistic Interaction 2.3.2. Separation of the Implicit-Explicit and the Procedural-Declarative Distinction 2.3.3. Bottom-up and Top-down Learning 2.3.4. Motivational and Metacognitive Control 2.4. Four Subsystems of CLARION 2.4.1. Overview of the Subsystems 2.4.2. The Action-Centered Subsystem 2.4.3. The Non-Action-Centered Subsystem 2.4.4. The Motivational Subsystem 2.4.5. The Metacognitive Subsystem 2.4.6. Parameters of the Subsystems 2.5. Accounting for Synergy within the Subsystems of CLARION 2.5.1. Accounting for Synergy within the ACS 2.5.2. Accounting for Synergy within the NACS 2.6. Concluding Remarks Chapter 3. Subsystems, Modules, and Algorithms I: The Action-Centered and Non-Action-Centered Subsystems 3.1. The Action-Centered Subsystem 3.1.1. Background 3.1.2. Representation 3.1.2.1. Representation in the Top Level 3.1.2.2. Representation in the Bottom Level 3.1.2.3. Action Decision Making 3.1.3. Learning 3.1.3.1. Learning in the Bottom Level 3.1.3.2. Learning in the Top Level 3.1.4. Level Integration 3.1.5. An Example 3.2. The Non-Action-Centered Subsystem 3.2.1. Background 3.2.2. Representation 3.2.2.1. Overall Al...
