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