This popular textbook presents a unified and up-to-date introduction to the interdisciplinary field of cognitive science.
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José Luis Bermúdez's research interests are interdisciplinary in nature at the intersection of philosophy, psychology, and neuroscience. His many books include The Paradox of Self-Consciousness (MIT Press, 1998), which analyzes the nature of self-awareness; Thinking without Words (Oxford, 2003), which offers a model for thinking about the cognitive achievements and abilities of prelinguistic infants and nonlinguistic humans, and Decision Theory and Rationality (Oxford, 2009), which explores tensions in how the concept of rationality is defined and formalized in different academic disciplines. Recent books include Understanding "I": Language and Thought, published by Oxford University Press in 2017 and The Bodily Self: Selected Essays by MIT Press in 2018. His most recent book, The Power of Frames (Cambridge, 2020) was supported by an ACLS fellowship for 2018-2019 and an NEH Summer Stipend for 2018. A target article with peer commentary based on The Power of Frames appeared in Behavioral and Brain Sciences (2022).
Inhaltsangabe
Preface 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.
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. Bayesian models 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. Mindreading: advanced topics; 15. The cognitive science of consciousness; 16. Situated cognition and robotics.
Preface 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.
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. Bayesian models 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. Mindreading: advanced topics; 15. The cognitive science of consciousness; 16. Situated cognition and robotics.
Rezensionen
'A wonderful introduction to this highly interdisciplinary field - takes the reader from key elementary concepts to cutting edge research. Should help inspire a new generation of cognitive scientists.' Nick Chater, University of Warwick
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