Cognitive Science
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Cognitive Science: An Introduction to the Study of Mind

Cognitive Science: An Introduction to the Study of Mind


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About the Book

In this Second Edition of their landmark text, Authors Jay Friedenberg and Gordon Silverman survey significant theoretical models of the human mind from an interdisciplinary perspective. Unlike other texts for this course which focus solely on classic experiments to illustrate major phenomena, Cognitive Science introduces students to the theoretical models and ideas underlying such empirical work. While experiments are discussed, they are used primarily to illustrate the specific characteristics of a model. This edition includes two new chapters on emotional cognition and social cognition.

Table of 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

About the Author :
Jay Friedenberg is Professor of the Psychology Department at Manhattan College, where he directs the Cognitive Science Program. He is interested in both vision and the philosophy of mind. He teaches courses in physiological psychology, cognition and learning, sensation and perception, and artificial intelligence and robotics. He has published several articles on visual estimation of center of mass. His current research projects focus on the aesthetics of geometrical shapes. He has published books on artificial intelligence, dynamical systems theory, and psychology. He is a member of the International Association of Empirical Aesthetics, the Eastern Psychological Association, the Vision Science Society, the Psychonomic Society, and Phi Beta Kappa. He obtained his PhD in cognitive psychology in 1995 at the University of Virginia. Gordon Silverman is Professor Emeritus of Electrical and Computer Engineering at Manhattan College. His professional career spans more than 55 years of corporate, teaching, consulting, and research experience, during which he has developed a range of scientific instruments, particularly for use in physiological psychology research environments. He is the holder of eight patents, some related to behavior modification. The author of more than 20 journal articles and books, he has also served on the faculties of The Rockefeller University and Fairleigh Dickinson University. His current research interests include telemedicine, rehabilitation medicine, artificial intelligence, and biomedical instrumentation and modeling. He holds engineering degrees from Columbia University and received a PhD in system science from New York University Polytechnic School of Engineering in 1972.

Review :
“I like the Friedenberg and Silverman Cognitive Science because I've found it to be a more inviting entree to this complex interdisciplinary field than other texts I've previously used. The authors really do a fine job distilling the essential questions from each discipline that contributes to cognitive science for novice students. End-of-chapter reviews are thought-provoking. I'm eagerly awaiting the second addition, with its excellent additional chapters on social and emotional cognition. I think it will improve an already great teaching resource!” "The strength of this book is the systematic introduction of the disciplines, methods, and viewpoints that constitute cognitive science. Other books are not as systematic and comprehensive on the overall endeavor of cognitive science. They do not as systematically evaluate different viewpoints as this book does." "I like the inclusion of the new chapters on emotional cognition and social cognition. The most impressive aspect of this book to students is its ability to make a large amount of complex material accessible to students."


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Product Details
  • ISBN-13: 9781412998291
  • Publisher: Sage Publications Inc Ebooks
  • Publisher Imprint: SAGE Publications Inc
  • Edition: Revised edition
  • No of Pages: 544
  • ISBN-10: 1412998298
  • Publisher Date: 29 May 2012
  • Binding: Digital (delivered electronically)
  • Language: English
  • Sub Title: An Introduction to the Study of Mind


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