Introduction A Brave New World What is Cognitive Science Representation Computation The Interdisciplinary Perspective "In Depth": Categories of Mental Representation "Minds On" Exercise: Analogical Reasoning The Philosophical Approach: Enduring Questions The Mind-Body Problem Functionalism The Free Will and Determinism Debate The Knowledge Acquisition Problem The Mystery of Consciousness Overall Evaluation of the Philosophical Approach "In Depth": Dennett's Multiple Drafts Theory of Consciousness "Minds On" Exercise: Decision Making The Psychological Approach: A Profusion of Theories 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 "In Depth": Insight Learning "Minds On" Exercise: Introspection The Cognitive Approach I 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 "In Depth": Biederman's Recognition-by-Components Theory of Pattern "Minds On" Exercise: Silhouettes and Object Constancy The Cognitive Approach II Types of Memory Memory Models Visual Imagery Problem Solving Overall Evaluation of the Cognitive Approach "In Depth": Search in Working Memory "Minds On" Exercise: Memory Effects The Neuroscience Approach: Mind as Brain 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 The Neuroscience of Executive Function and Problem Solving Overall Evaluation of the Neuroscience Approach "In Depth": Binding and Neural Synchrony "Minds On" Exercise: Neural Functions The Network Approach The Network Approach: Mind as a Web Principles Underlying Artificial Neural Networks Characteristics of Artificial Neural Networks Early Conceptions of Neural Networks Back Propagation and Convergent Dynamics Artificial Neural Network Typologies Evaluating the Connectionist Approach Semantic Networks: Meaning in the Web Overall Evaluation of the Network Approach "In Depth": NETtalk "Minds On" Exercise: Free Association The Evolutionary Approach: Change over Time Evolutionary Psychology A Little Background: Selection and Genetics Evolved Psychological Mechanisms Evolution and Cognitive Processes Evolutionary Computing Artificial Life Neural Darwinism Evaluating the Evolutionary Approach Overall Evaluation of the Evolutionary Approach "In Depth": A Stage Theory of Evolution "Minds On" Exercise: Memory for Object Location The Linguistic Approach The Linguistic Approach: The Importance of Language The Nature of Language Primate Language Use Language Acquisition Language Deprivation Philosophy and Linguistics: The Linguistic Relativity Hypothesis 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 "In Depth": The Logogen Model of Word Recognition "Minds On" Exercise: Conversational Pragmatics Artificial Intelligence I: Definitional Perspective Introduction Historical and Philosophical Roots Defining Artificial Intelligence (AI) Learning AI Methodologies The Computer as the Tool of AI Research Programming Alan Turing and The Great Debate Overall Evaluation of the AI Concept. Summarizing the Meaning of AI "In Depth": Behaviorism and Ned Block "Minds On" Exercise: Play the IG game Artificial Intelligence II: Operational Perspective Introduction The Practical World of AI Approaches to the Design of Intelligent Agents Machine Intelligence, Knowledge and Machine Reasoning Overall Evaluation of the Operational Perspective "In Depth": The ID3 Algorithm "Minds On" Exercise: Decision Making Robotics: The Ultimate Intelligent Agents Introduction Some Robotic Achievements Evaluating Robotic Potentials Biological Foundations of Robotic Paradigms Foundations of Robotic Paradigms Robotic Paradigms Overall Evaluation of Robots as Ultimate Intelligent Agents "In Depth": Autonomous Robot Architecture (AuRA) "Minds On" Exercise: Relational Graphs Conclusion The Benefits of Cognitive Science Working Memory: An Example of an Integrated Program of Study Issues in Cognitive Science Enhancing Cognitive Science The Future "In Depth": Multiagent Systems "Minds On" Exercise: Evaluating Theories of Mind
Jay Friedenberg is Associate Chair and Associate Professor of the Psychology Department at Manhattan College, where he directs the Cognitive Science program. He obtained his Ph.D. in cognitive psychology in 1995 at the University of Virginia. His academic interests are in the areas of vision and philosophy of mind. He teaches courses in introductory and physiological psychology, sensation and perception, and research methods. Dr. Friedenberg has an active research program, investigating the visual estimation of center of mass. He has published articles on symmetry detection and face perception. Dr. Friedenberg is a member of the New York Academy of Sciences, The Psychonomic Society, Phi Beta Kappa, and Sigma Xi. He is a yoga instructor and lives in Riverdale New York with a fat cat called Mimi. Gordon Silverman is Chair of Electrical and Computer Engineering at Manhattan College. His professional career spans more than 50 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. Dr. Silverman's current research interests include telemedicine, rehabilitation medicine, artificial intelligence, and biomedical instrumentation and modeling.
"Cognitive Science offers a well-developed summary of the major theoretical disciplines involved in cognitive science. Friedenberg and Silverman have written a clear and comprehensive text that will be an invaluable guide for both students and cognitive science teachers. This work offers an engaging, informative, and up-to-date discussion of both historical development and the current practice of cognitive science." -- Thomas D. Parsons Contemporary Psychology: APA Review of books 20060810