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Readings in Cognitive Science: A Perspective from Psychology and Artificial Intelligence brings together important studies that fall in the intersection between artificial intelligence and cognitive psychology. This book is composed of six chapters, and begins with the complex anatomy and physiology of the human brain. The next chapters deal with the components of cognitive science, such as the semantic memory, similarity and analogy, and learning. These chapters also consider the application of mental models, which represent the domain-specific knowledge needed to understand a dynamic system or natural physical phenomena. The remaining chapters discuss the concept of reasoning, problem solving, planning, vision, and imagery. This book is of value to psychologists, psychiatrists, neurologists, and researchers who are interested in cognition.
Language
Place of publication
Publishing group
Elsevier Science & Techn.
ISBN-13
978-1-4832-1446-7 (9781483214467)
Schweitzer Classification
AcknowledgmentsA Perspective on Cognitive ScienceChapter 1 Foundations Mind and Machines 1.1 Computing Machinery and Intelligence 1.2 Minds, Brains, and Programs Cognitive Architecture 1.3 The Theory of Human Problem Solving 1.4 The Appeal of Parallel Distributed Processing 1.5 Precis of the Modularity of MindChapter 2 Representation Semantic Memory and Spreading Activation 2.1 Semantic Memory 2.2 What's in a Link: Foundations for Semantic Networks 2.3 A Spreading-Activation Theory of Semantic Processing 2.4 A Spreading Activation Theory of Memory Frames, Scripts, and Schemas 2.5 A Framework for Representing Knowledge 2.6 Scripts, Plans, Goals, and Understanding 2.7 Schemata and Sequential Thought Processes in PDP Models Mental Models 2.8 Naive Physics I: Ontology for Liquids 2.9 Assumptions and Ambiguities in Mechanistic Mental ModesChapter 3 Categorization Similarity and Analogy 3.1 Features of Similarity 3.2 Structure-Mapping: a Theoretical Framework for Analogy Prototypes 3.3 Principles of Categorization 3.4 Conceptual Combination with Prototype ConceptsChapter 4 Learning Human Learning 4.1 Repair Theory: a Generative Theory of Bugs in Procedural Skills 4.2 Acquisition of Cognitive Skill Machine Learning 4.3 Explanation-Based Generalization: A Unifying View 4.4 Learning Internal Representations by Error PropagationChapter 5 Thinking Reasoning 5.1 How to Reason Syllogistically 5.2 Extensional versus Intuitive Reasoning Problem Solving 5.3 GPS, a Program that Simulates Human Thought 5.4 The Mind's Eye in Chess Planning 5.5 A Cognitive Model of Planning 5.6 Meta-PlanningChapter 6 Perception Vision 6.1 A Computational Theory of Human Stereo Vision 6.2 Visual Routines 6.3 An Interactive Activation Model of Context Effects in Letter Perception Imagery 6.4 Mental Rotation of Three-Dimensional Objects 6.5 The Imagery Debate: Analogue Media versus Tacit Knowledge 6.6 Seeing and Imagining in the Cerebral Hemispheres: a Computational ApproachIndex