Cognitive Science: An Introduction to the Study of MindCognitive 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
A Brave New World | |
A Profusion of Theories | |
Vision Pattern Recognition and Attention | |
Feature Detection Theory | |
Memory Imagery and Problem Solving | |
The Neuroscience Perspective | |
Language and Cognitive Science | |
Mind as Emotion | |
Mind as Society | |
Impressions | |
Stereotypes and Cognitive Processes | |
The Computer as a Cognitive Entity | |
Doctrinal Arguments | |
Intelligent Agents and Robots | |
Optogenetics | |
The Neuroscience of Visual Object Recognition | |
Perceptual Binding and Neural Synchrony | |
The Neuroscience of Memory | |
Mind as a | |
Network Science | |
Change Over Time | |
Evolutionary Psychology | |
Where We Go From Here | |
Dynamical Representation | |
The Future | |
Glossary | |
References | |
Name Index | |
Subject Index | |
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Cognitive Science: An Introduction to the Science of the Mind José Luis Bermúdez Limited preview - 2014 |
Common terms and phrases
ability action activity algorithm amygdala animals architecture artificial intelligence attention behavior brain areas capacity cells chapter cognitive neuroscience cognitive processes cognitive psychology cognitive science complex concept consciousness cortex damage declarative memory describe disciplines discussed disorder dynamical elements emotions environment Evaluating evolutionary evolutionary psychology example experimental Figure frontal lobe function Gestalt goal hemisphere hippocampus human iconic memory idea individual input interaction interdisciplinary knowledge Kosslyn language learning linguistic logical long-term memory machine mechanisms mental mind neural networks neurons nodes object operations organization output parietal parietal lobe participants patients pattern recognition perception perform perspective philosophical physical problem solving representation represented response robot selection semantic semantic networks sensory sensory memory shows social cognitive spatial specific stimulus strong AI structure symbols target task theory thought Topic/Issues underlie understanding visual words