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Philosophy of Computational Cultural Neuroscience Essays in Cultural Neuroscience Series

Langue : Anglais

Auteur :

Couverture de l’ouvrage Philosophy of Computational Cultural Neuroscience

This book aims to illuminate theoretical and methodological advances in computational cultural neuroscience and the implications of these advances for philosophy. Philosophical studies in computational cultural neuroscience introduce core considerations such as culture and computation, and the role of scientific and technological progression for the advancement of cultural processes.

The study of how cultural and biological factors shape human behaviour has been an important inquiry for centuries, and recent advances in the field of computational cultural neuroscience allow for novel insights into the computational foundations of cultural processes in the structural and functional organization of the nervous system. The author examines the computational foundations of the mind and brain across cultures and investigates the influence of culture on the computational mind and brain. The book explores recent advances in the field, providing novel insights on topics such as artificialism, reconstructionism, and intelligence.

Philosophy of Computational Cultural Neuroscience is fascinating reading for students and academics in the field of neuroscience who wish to take a cultural or philosophical approach to their studies and research.

This book is the winner of the International Cultural Neuroscience Society?s International Book Prize.

Introduction

Part I

1 Agency

2 Automatism

3 Interface Theory

4 Machine Functionalism

Part II

5 Reconstructionism

6 Machine Physicalism

7 Computational Theory of Mind

8 Simulation

Part III

9 Artificialism

10 Machine Learning

11 Intelligence

12 Virtual Realism

Conclusion

Index

Postgraduate and Undergraduate

Joan Y. Chiao is the Director of the International Cultural Neuroscience Consortium. She received her Ph.D. from Harvard University in Psychology and B.S. with Honors from Stanford University in Symbolic Systems.