Cognitive science : an introduction to the study of mind /: an introduction to the study of mind. ([2012])

• Record Type: Book
• Further Information: Note: Jay Friedenberg, Gordon Silverman.
• Authors: Friedenberg, Jay; Silverman, Gordon
• Contents: 1. 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; 2. 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; 3. 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; 4. 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; 5. 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; 6. 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; 7. 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; 8. 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; 9. 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; 10. 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; 11. 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 Prisoner’s Dilemma; Summing Up: A Review of Chapter 11; 12. The Artificial Intelligence (AI) Approach I: The Mind As Machine; Cognitive Science from the AI Perspective; Historical Precursors; Universal Computation and Turing’s Contribution; The Turing Test; Evaluating the Work of Turing’s 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; 13. 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 “learn” to play a winning game without knowing anything about the game?; Expert Systems – a culminating “top-down” example; Why Not Build a Brain – the Blue Brain Project; Robotic Embodiments – 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 – 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; 14. 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;
• Edition: 2 edition
• Publisher Details: Los Angeles : SAGE Publications, Inc
• Publication Date: 2012
• Extent: 1 online resource
• Subjects: 153; Cognitive science
• Languages: English
• ISBNs: 9781452236131; 1452236135
• Related ISBNs: 9781412977616
• Notes: Note: Includes bibliographical references and index.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.