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Full Description
Cognitive Science provides a comprehensive introduction to the field from multiple perspectives to help readers better understand and answer questions about the mysteries of the mind. In each chapter, the authors focus on a particular area in cognitive science, exploring methodologies, theoretical perspectives, and findings, then offering the critical evaluations and conclusions drawn from them. Substantially updated with new and expanded content, the Third Edition reflects the latest research in this rapidly evolving field.
Contents
Chapter 1A Brave New WorldWhat Is Cognitive Science?RepresentationComputationThe Interdisciplinary PerspectiveChapter 2: The Philosophical Approach: Enduring QuestionsWhat Is Philosophy?The Mind-Body Problem-What is Mind?MonismDualismFunctionalism- 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 TheoriesWhat Is Psychology?Psychology and the Scientific MethodMental Atoms, Mental Molecules, and a Periodic Table of the Mind: The Voluntarist MovementStructuralism: What the Mind IsFunctionalism: What the Mind DoesThe Whole Is Greater Than the Sum of Its Parts: Mental Physics and the Gestalt MovementMini-Minds: Mechanism and Psychoanalytic PsychologyMind as a Black Box: The Behaviorist ApproachChapter 4: The Cognitive Approach I: Vision, Pattern Recognition, and AttentionSome History First: The Rise of Cognitive PsychologyThe Cognitive Approach: Mind as an Information ProcessorModularity of MindTheories of Vision and Pattern RecognitionTheories of Attention- How do We Pay Attention?Evaluating the Model-Building ApproachChapter 5: The Cognitive Approach II: Memory, Imagery, and Problem SolvingTypes of Memory- How do we Remember?Memory ModelsVisual Imagery- How do we ImagineProblem Solving- How do we Solve Problems?Chapter 6: The Neuroscience Approach: Mind as BrainThe Neuroscience PerspectiveMethodology in NeuroscienceThe Small Picture: Neuron Anatomy and PhysiologyThe Big Picture: Brain AnatomyThe Neuroscience of Visual Object RecognitionThe Neuroscience of AttentionThe Neuroscience of MemoryNeural Substrates of Working MemoryThe Neuroscience of Executive Function and Problem SolvingChapter 7: The Network Approach: Mind as a WebThe Network PerspectiveArtificial Neural NetworksCharacteristics of Artificial Neural NetworksEarly Conceptions of Neural NetworksBack Propagation and Convergent DynamicsEvaluating the Connectionist ApproachSemantic Networks: Meaning in the WebNetwork ScienceChapter 8: The Evolutionary Approach: Change Over TimeThe Evolutionary ViewA Little Background: Natural Selection and GeneticsComparative CognitionEvolutionary PsychologyEvaluating Evolutionary PsychologyChapter 9: The Linguistic Approach: Language and Cognitive ScienceThe Linguistic Approach: The Importance of LanguageThe Nature of LanguageLanguage Use in PrimatesLanguage AcquisitionLanguage DeprivationCognition and Linguistics: The Role of GrammarNeuroscience and Linguistics: The Wernicke-Geschwind ModelArtificial Intelligence and Linguistics: Natural Language ProcessingChapter 10: The Emotional Approach: Mind as EmotionWhat Is Emotion?Theories of EmotionBasic EmotionsEmotions, Evolution, and Psychological DisordersEmotions and NeuroscienceHot and Cold: Emotion-Cognition InteractionsEmotions and Artificial Intelligence: Affective ComputingChapter 11: The Social Approach: Mind as SocietySocial CognitionSocial Cognitive NeuroscienceTopics in Social Cognitive NeuroscienceIs Social Cognitive Neuroscience Special?Advantages of the Social Cognitive Neuroscience ApproachTheory of MindOther Social Cognitive DisordersAttitudesImpressionsAttributionStereotypesPrejudiceChapter 12: The Artificial Intelligence Approach I: Mind as MachineCognitive Science and Artificial IntelligenceHistorical PrecursorsDefining AIDoctrinal ArgumentsTuring's Critical LegacyPractical AIFuzzy Thinking - the legacy of Lotfi ZadehThe Contentious Debate and AI EvolutionThe Neural Net Model and its CapabilitiesThe New Millennium: Cognitive Computing(Is it possible to "build" a brain?)Chapter 13: The Artificial Intelligence Approach II: Embodiments and RoboticsThe Intelligent Agent ParadigmEmerging DevelopmentsChapter 14: Conclusion: Where We Go From HereThe Benefits of Cognitive ScienceIssues in Cognitive ScienceThe Dynamical Systems ApproachDynamical RepresentationDynamical Versus Classical Cognitive ScienceEvaluating the Dynamical PerspectiveIntegrating Cognitive ScienceThe Future
