Cognitive science : an introduction to the study of mind /: an introduction to the study of mind. (2015)

• Record Type: Book
• Further Information: Note: Jay Friedenberg, Gordon Silverman.
• Authors: Friedenberg, Jay; Silverman, Gordon
• Contents: Chapter 1: Exploring Inner Space; A Brave New World; What Is Cognitive Science?; Representation; Computation; The Interdisciplinary Perspective; Chapter 2: The Philosophical Approach: Enduring Questions; What Is Philosophy?; The Mind-Body Problem-What is Mind?; Monism; Dualism; Functionalism– Are Minds Limited to Brains?; The Knowledge Acquisition Problem– How Do We Acquire Knowledge?; The Mystery of Consciousness– What is Consciousness and How Does it Operate?; Chapter 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; Chapter 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– How do We Pay Attention?; Evaluating the Model-Building Approach; Chapter 5: The Cognitive Approach II: Memory, Imagery, and Problem Solving; Types of Memory– How do we Remember?; Memory Models; Visual Imagery– How do we Imagine; Problem Solving– How do we Solve Problems?; Chapter 6: The Neuroscience Approach: Mind as Brain; The Neuroscience Perspective; Methodology in Neuroscience; The Small Picture: Neuron Anatomy and Physiology; The Big Picture: Brain Anatomy; The Neuroscience of Visual Object Recognition; The Neuroscience of Attention; The Neuroscience of Memory; Neural Substrates of Working Memory; The Neuroscience of Executive Function and Problem Solving; Chapter 7: The Network Approach: Mind as a Web; The Network Perspective; Artificial Neural Networks; Characteristics of Artificial Neural Networks; Early Conceptions of Neural Networks; Back Propagation and Convergent Dynamics; Evaluating the Connectionist Approach; Semantic Networks: Meaning in the Web; Network Science; Chapter 8: The Evolutionary Approach: Change Over Time; The Evolutionary View; A Little Background: Natural Selection and Genetics; Comparative Cognition; Evolutionary Psychology; Evaluating Evolutionary Psychology; Chapter 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; Chapter 10: The Emotional Approach: Mind as Emotion; What Is Emotion?; Theories of Emotion; Basic Emotions; Emotions, Evolution, and Psychological Disorders; Emotions and Neuroscience; Hot and Cold: Emotion-Cognition Interactions; Emotions and Artificial Intelligence: Affective Computing; Chapter 11: The Social Approach: Mind as Society; Social Cognition; Social Cognitive Neuroscience; Topics in Social Cognitive Neuroscience; Is Social Cognitive Neuroscience Special?; Advantages of the Social Cognitive Neuroscience Approach; Theory of Mind; Other Social Cognitive Disorders; Attitudes; Impressions; Attribution; Stereotypes; Prejudice; Chapter 12: The Artificial Intelligence Approach I: Mind as Machine; Cognitive Science and Artificial Intelligence; Historical Precursors; Defining AI; Doctrinal Arguments; Turing’s Critical Legacy; Practical AI; Fuzzy Thinking – the legacy of Lotfi Zadeh; The Contentious Debate and AI Evolution; The Neural Net Model and its Capabilities; The New Millennium: Cognitive Computing; (Is it possible to “build” a brain?); Chapter 13: The Artificial Intelligence Approach II: Embodiments and Robotics; The Intelligent Agent Paradigm; Emerging Developments; Chapter 14: Conclusion: Where We Go From Here; The Benefits of Cognitive Science; Issues in Cognitive Science; The Dynamical Systems Approach; Dynamical Representation; Dynamical Versus Classical Cognitive Science; Evaluating the Dynamical Perspective; Integrating Cognitive Science; The Future;
• Edition: Third edition
• Publisher Details: Los Angeles : SAGE
• Publication Date: 2015
• Extent: 1 online resource
• Subjects: 153; Cognitive science
• Languages: English
• ISBNs: 9781483347400
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; item not viewed.
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