Description
Book SynopsisThis popular textbook has been significantly rewritten for the fourth edition to make it more accessible to students and easier for instructors to use. It presents a unified and up-to-date introduction to cognitive science as a field of inquiry in its own right, and includes a new chapter on emotions.
Trade Review'In this tour de force in both content and organization, Bermúdez has masterfully distilled complex ideas into an elixir that is easy to swallow. There is little doubt students' interest will be piqued and existing conceptions challenged. Given the relevance of cognitive science to understanding ourselves and others (human or otherwise), I consider this an invaluable service.' Nicholas Duran, Arizona State University
'Bermúdez successfully navigates a lucid path through the maze of multidisciplinarity that is cognitive science. He paints a rich and coherent picture of the science of the mind from its key historical insights through to groundbreaking applications. A wonderful book that is sure to fascinate and engage our students.' Peter Cheng, University of Sussex
'The latest edition of Bermúdez's groundbreaking textbook continues where the earlier editions left off. There is an incredible amount of cutting-edge information and theory, all presented in an accessible style with exercises, diagrams, and checklists to help the student along. This is essential reading for undergraduate courses in all core areas of cognitive science.' Michael Wilby, Anglia Ruskin University
Table of ContentsPreface; Introduction: the challenge of cognitive science; Part I. Historical Landmarks: 1. The prehistory of cognitive science; 2. The discipline matures: three milestones; 3. The turn to the brain; Part II. Models and Tools: 4. Physical symbol systems and the language of thought; 5. Neural networks and distributed information processing; 6. Applying dynamical systems theory to model the mind; 7. Bayesianism in cognitive science; 8. Modules and architectures; 9. Strategies for brain mapping; Part III. Applications: 10. Models of language learning; 11. Object perception and folk physics; 12. Machine learning: from expert systems to deep learning; 13. Exploring mindreading; 14. Robotics: from GOFAI to situated cognition and behavior-based robotics; 15. The cognitive science of consciousness; 16. The emotions: from cognitive science to affective science; 17. Looking ahead: challenges and opportunities; Glossary; References; Index.
