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| Introduction: Exploring Inner Space | |
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| a Brave New World | |
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| What Is Cognitive Science? | |
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| Representation | |
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| Computation | |
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| The Interdisciplinary Perspective | |
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| Interdisciplinary Crossroads: The Philosophy and Psychology of Mental Representation | |
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| Summing Up: Review of Chapter 1 | |
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| The Philosophical Approach: Enduring Questions | |
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| What Is Philosophy? | |
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| The Mind-Body Problem | |
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| Monism | |
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| Dualism | |
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| Functionalism | |
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| The Knowledge Acquisition Problem | |
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| The Mystery of Consciousness | |
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| Overall Evaluation of the Philosophical Approach | |
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| Interdisciplinary Crossroads: Philosophy, Neuroscience and Binocular Rivalry | |
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| Summing Up: Review of Chapter 2 | |
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| The Psychological Approach: a Profusion of Theories | |
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| What Is Psychology? | |
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| Psychology and the Scientific Method | |
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| Mental Atoms, Mental Molecules, and a Periodic Table of the Mind: The Voluntarist Movement | |
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| Structuralism: What the Mind Is | |
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| Functionalism: What the Mind Does | |
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| The Whole Is Greater Than the Sum of Its Parts: Mental Physics and the Gestalt Movement | |
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| Mini-Minds: Mechanism and Psychoanalytic Psychology | |
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| Mind as a Black Box: The Behaviorist Approach | |
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| Overall Evaluation of the Psychological Approach | |
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| Interdisciplinary Crossroads: Gestalt Phenomenology, Experimental Psychology and Perceptual Grouping | |
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| Summing Up: a Review of Chapter 3 | |
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| The Cognitive Approach I: Vision, Pattern Recognition and Attention | |
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| Some History First: The Rise of Cognitive Psychology | |
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| The Cognitive Approach: Mind as an Information Processor | |
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| Modularity of Mind | |
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| Theories of Vision and Pattern Recognition | |
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| Theories of Attention | |
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| Evaluating the Model-Building Approach | |
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| Interdisciplinary Crossroads: Computational Vision and Pattern Recognition | |
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| Summing Up: a Review of Chapter 4 | |
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| The Cognitive Approach II: Memory, Imagery, and Problem Solving | |
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| Types of Memory | |
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| Memory Models | |
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| Visual Imagery | |
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| Problem Solving | |
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| Overall Evaluation of the Cognitive Approach | |
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| Interdisciplinary Crossroads: Artificial Intelligence, Problem Solving and the SOAR Model | |
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| Summing Up: a Review of Chapter 5 | |
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| The Neuroscience Approach: Mind As Brain | |
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| The Neuroscience Perspective | |
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| Methodology in Neuroscience | |
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| Modern Brain Imaging Methods | |
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| Brain Stimulation Techniques | |
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| The Small Picture: Neuron Anatomy and Physiology | |
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| The Big Picture: Brain Anatomy | |
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| The Neuroscience of Visual Object Recognition | |
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| The Neuroscience of Attention | |
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| Disorders of Attention | |
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| The Neuroscience of Memory | |
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| Neural Substrates of Working Memory | |
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| Neural Substrates of Long-Term Memories | |
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| The Neuroscience of Executive Function and Problem Solving | |
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| Overall Evaluation of the Neuroscience Approach | |
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| Interdisciplinary Crossroads: Perceptual Binding and Neural Synchrony | |
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| Summing Up: a Review of Chapter 6 | |
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| The Network Approach: Mind as a Web | |
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| The Network Perspective | |
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| Artificial Neural Networks | |
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| Semantic Networks: Meaning in the Web | |
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| Network Science | |
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| Overall Evaluation of the Network Approach | |
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| Interdisciplinary Crossroads: Emotions and Networks | |
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| Summing Up: a Review of Chapter 7 | |
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| The Evolutionary Approach: Change Over Time | |
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| The Evolutionary View | |
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| a Little Background: Natural Selection and Genetics | |
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| Comparative Cognition | |
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| Evolutionary Psychology | |
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| Overall Evaluation of the Evolutionary Approach | |
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| Interdisciplinary Crossroads: Evolutionary Processes and Artificial Life | |
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| Summing Up: a Review of Chapter 8 | |
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| The Linguistic Approach: Language and Cognitive Science | |
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| The Linguistic Approach: The Importance of Language | |
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| The Nature of Language | |
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| Language Use in Primates | |
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| Language Acquisition | |
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| Language Deprivation | |
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| Cognition and Linguistics: The Role of Grammar | |
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| Neuroscience and Linguistics: The Wernicke-Geschwind Model | |
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| Artificial Intelligence and Linguistics: Natural Language Processing | |
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| Overall Evaluation of the Linguistic Approach | |
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| Interdisciplinary Crossroads: Language, Philosophy and the Linguistic Relativity Hypothesis | |
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| Summing Up: a Review of Chapter 9 | |
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| The Emotional Approach: Mind as Emotion | |
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| What is Emotion? | |
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| Basic Emotions | |
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| Theories of Emotion | |
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| Hot and Cold: Emotion-Cognition Interactions | |
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| Emotions and Neuroscience | |
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| Emotions, Evolution and Psychological Disorders | |
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| Emotions and Artificial Intelligence: Affective Computing | |
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| Overall Evaluation of the Emotional Approach | |
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| Interdisciplinary Crossroads: Emotion, Robotics and the Kisment Project | |
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| Summing Up: a Review of Chapter 10 | |
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| The Social Approach: Mind as Society | |
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| Social Cognition | |
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| Evolution and Social Cognition | |
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| Attention and Social Cognition | |
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| Social Cognitive Neuroscience | |
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| Theory of Mind | |
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| Other Social Cognitive Disorders | |
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| Attitudes | |
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| Impressions | |
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| Attribution | |
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| Stereotypes | |
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| Prejudice | |
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| Overall Evaluation of the Social Approach | |
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| Interdisciplinary Crossroads: Game Theory and Prisoner���s Dilemma | |
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| Summing Up: a Review of Chapter 11 | |
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| The Artificial Intelligence (AI) Approach I: The Mind As Machine | |
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| Cognitive Science from the AI Perspective | |
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| Historical Precursors | |
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| Universal Computation and Turing���s Contribution | |
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| The Turing Test | |
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| Evaluating the Work of Turing���s Universal Computing Machine | |
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| Predictive Architectures and Their Physical Challenges | |
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| Evaluating Machine Computational Limitations | |
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| Artificial General Intelligence (AGI) | |
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| Evolutionary Computing | |
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| Evaluation of Evolutionary Computing and Artificial General Intelligence | |
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| Agent-Based Architectures | |
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| Multiagent Systems | |
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| Overall Evaluation of the Computer as a Model of Brain Organization | |
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| Interdisciplinary Cross-Roads*fill in later | |
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| Artificial Intelligence II: Embodiments and Robotics | |
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| Introduction | |
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| The IA Paradigm | |
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| Why Biology is Important | |
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| Modeling Aspects of Biological Systems | |
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| Abstracting General Principles of IAs | |
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| Embodiment and situational aspects of intelligent behavior | |
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| Relationships between elements of the IA system (structure) and the environment | |
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| Applying the principles to the design of IAs | |
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| Cognitive Models of IAs | |
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| Deep Blue and the Chess Master | |
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| Can an IA �ǣlearnï¿½Ç to play a winning game without knowing anything about the game? | |
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| Expert Systems ��� a culminating �ǣtop-downï¿½Ç example | |
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| Why Not Build a Brain ��� the Blue Brain Project | |
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| Robotic Embodiments ��� Ultimate IAs | |
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| Defining a robotic embodiment | |
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| The IA Embodiment Paradigm Explored | |
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| Robotic Architectures | |
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| Hierarchical Architectures | |
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| Reactive Architectures | |
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| The Hybrid Deliberative/Reactive Paradigm | |
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| Biological and Social Influences on Robots | |
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| Swarming ��� what animals can teach us. | |
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| Robotic Simulation | |
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| Overall Evaluation of an IA Embodiment | |
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| Interdisciplinary Cross-Roads: Where Biology Meets Technology | |
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| Summing Up: a Review of Chapter 13 | |
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| Conclusion: Where We Go From Here | |
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| The Benefits of Cognitive Science | |
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| Issues in Cognitive Science | |
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| The Dynamical Systems Approach | |
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| Dynamical Representation | |
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| Dynamical vs. Classical Cognitive Science | |
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| Evaluating the Dynamical Perspective | |
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| Integrating Cognitive Science | |
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| The Future | |
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| Interdisciplinary Crossroads: Multiple Approaches to Levels of Explanation in Cognitive Science | |
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| Summing Up: a Review of Chapter 14 | |