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.

"This book provides novel insights into the study of empirical computational approaches in the field of Cultural Neuroscience. It discusses and analyses topics such as cultural intelligence, cultural machine learning, cultural brain dynamics, and cultural security. This comprehensive text engages with computational principles to guide the research on the influence of cultural environments on human genetics. It explores the theoretical and methodological approaches involved in computational neuroscience. The author elucidates how cultural processes intersect with the structural organisation of the nervous system, contributing to the study of computational principles and neural information processing mechanisms at the cultural level. Research in this subject area can help provide better understanding of the role of computation in cultural neuroscience, stimulating further research into practice and policy. Computational Cultural Neuroscience: An Introduction is the ideal resource for academics, researchers and students in psychology, neuroscience, computer science or philosophy who are interested in or cultural neuroscience"--

The goal of this volume is to highlight theoretical and methodological advances in cultural neuroscience and the implications of theoretical and empirical advances in cultural neuroscience for philosophy. The study of cultural and biological factors that contribute to human behavior has been an important inquiry for centuries, and recent advances in the field of cultural neuroscience allow for novel insights into how cultural and biological factors shape mind, brain and behavior. Theoretical and empirical advances in cultural neuroscience, which investigate the origins of culture, may shed light on philosophical issues of the mind and science.

Computational approaches dominate contemporary cognitive science, promising a unified, scientific explanation of how the mind works. However, computational approaches raise major philosophical and scientific questions. In what sense is the mind computational? How do computational approaches explain perception, learning, and decision making? What kinds of challenges should computational approaches overcome to advance our understanding of mind, brain, and behaviour? The Routledge Handbook of the Computational Mind is an outstanding overview and exploration of these issues and the first philosophical collection of its kind. Comprising thirty-five chapters by an international team of contributors from different disciplines, the Handbook is organised into four parts: History and future prospects of computational approaches Types of computational approach Foundations and challenges of computational approaches Applications to specific parts of psychology. Essential reading for students and researchers in philosophy of mind, philosophy of psychology, and philosophy of science, The Routledge Handbook of the Computational Mind will also be of interest to those studying computational models in related subjects such as psychology, neuroscience, and computer science.

The goal of this volume is to highlight theoretical and methodological advances in cultural neuroscience and the implications of theoretical and empirical advances in cultural neuroscience for philosophy. The study of cultural and biological factors that contribute to human behavior has been an important inquiry for centuries, and recent advances in the field of cultural neuroscience allow for novel insights into how cultural and biological factors shape mind, brain and behavior. Theoretical and empirical advances in cultural neuroscience, which investigate the origins of culture, may shed light on philosophical issues of the mind and science.

This book argues that all the cognitive science disciplines are not equally able to provide answers to ontological questions about the mind, but rather that only neurophysiology and cultural psychology are suited to answer these questions."--BOOK JACKET.

The topic of consciousness attracts researchers and theorists from diverse backgrounds, including computational neuroscience psychology and philosophy. This book illustrates these three approaches, with chapters by leading figures in each field.

What does computable law mean for the autonomy, authority, and legitimacy of the legal system? Are we witnessing a shift from Rule of Law to a new Rule of Technology? Should we even build these things in the first place? This unique volume collects original papers by a group of leading international scholars to address some of the fascinating questions raised by the encroachment of Artificial Intelligence (AI) into more aspects of legal process, administration, and culture. Weighing near-term benefits against the longer-term, and potentially path-dependent, implications of replacing human legal authority with computational systems, this volume pushes back against the more uncritical accounts of AI in law and the eagerness of scholars, governments, and LegalTech developers, to overlook the more fundamental - and perhaps 'bigger picture' - ramifications of computable law. With contributions by Simon Deakin, Christopher Markou, Mireille Hildebrandt, Roger Brownsword, Sylvie Delacroix, Lyria Bennet Moses, Ryan Abbott, Jennifer Cobbe, Lily Hands, John Morison, Alex Sarch, and Dilan Thampapillai, as well as a foreword from Frank Pasquale.