Bermúdez J.L. Cognitive Science: An Introduction to the Science of the Mind

3rd edition. — Singapore: Cambridge University Press, 2020. — 522 p.The Third Edition of this popular and engaging text consolidates the interdisciplinary streams of cognitive science to present a unified narrative of cognitive science as a discipline in its own right. It teaches students to apply the techniques and theories of the cognitive scientist's 'toolkit' - the vast range of methods and tools that cognitive scientists use to study the mind. Thematically organized, Cognitive Science underscores the problems and solutions of cognitive science rather than more narrowly examining individually the subjects that contribute to it - psychology, neuroscience, linguistics, and so on. The generous use of examples, illustrations, and applications demonstrates how theory is applied to unlock the mysteries of the human mind. Drawing upon cutting-edge research, the text has been substantially revised, with new material on Bayesian approaches to the mind and on deep learning. An extensive on-line set of resources is available to aid instructors and students alike. Sample syllabi show how the text can support a variety of courses, making it a highly flexible teaching and learning resource at both the undergraduate and graduate levels. Instructor and student resources available at https://www.bermudezcogsci.com/
Offers a popular and highly readable text that consolidates the interdisciplinary streams of cognitive science into a unified introduction to the field
Provides a strong focus on dynamical systems, situated cognition and robotics, and mindreading
Thought-provoking exercises within the chapters enable students to test and apply their understanding
Includes new chapters on Bayesian approaches to cognitive science and machine learning/deep learningBoxes
Figures
Tables
Preface
Acknowledgments 1
Acknowledgments 2
Acknowledgments 3
Introduction
Historical Landmarks
The Prehistory of Cognitive Science
The Discipline Matures: Three Milestones
The Turn to the Brain
Models and Tools
Physical Symbol Systems and the Language of Thought
Neural Networks and Distributed Information Processing
Applying Dynamical Systems Theory to Model the Mind
Bayesianism in Cognitive Science
Modules and Architectures
Models of Language Learning
Applications
Object Perception and Folk Physics
Machine Learning: From Expert Systems to Deep Learning
Exploring Mindreading
Mindreading: Advanced Topics
The Cognitive Science of Consciousness
Robotics: From GOFAI to Situated Cognition and Behavior-Based Robotics
Looking Ahead: Challenges and Opportunities
Glossary
Bibliography
Index