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 organization 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 of psychology, neuroscience, computer science or philosophy, who are interested in cultural neuroscience.

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.

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.

Cognitive neuroscience is the interdisciplinary study of how cognitive and intellectual functions are processed and represented within the brain, which is critical to building understanding of core psychological and behavioural processes such as learning, memory, behaviour, perception, and consciousness. Understanding these processes not only offers relevant fundamental insights into brain-behavioural relations, but may also lead to actionable knowledge that can be applied in the clinical treatment of patients with various brain-related disabilities. This Handbook focusses on the foundational principles, methods, and underlying systems in cognitive and systems neuroscience, as well as examining cutting-edge methodological advances and innovations. Containing 34 original, state of the art contributions from leading experts in the field, this Handbook is essential reading for researchers and students of cognitive psychology, as well as scholars across the fields of neuroscientific, behavioural and health sciences. Part 1: Background Considerations Part 2: Neuroscientific Substrates and Principles Part 3: Neuroanatomical Brain Systems Part 4: Neural Dynamics and Processes Part 5: Sensory-Perceptual Systems and Cognition Part 6: Methodological Advances

Beyond Interdisciplinarity examines the broadening meaning of core concept across academic disciplines and other forms of knowledge. In this book, Associate Editor of The Oxford Handbook of Interdisciplinarity and internationally recognized scholar Julie Thompson Klein depicts the heterogeneity and boundary work of inter- and trans-disciplinarity in a conceptual framework based on an ecology of spatializing practices in transaction spaces, including trading zones and communities of practice. The book includes both "crossdisciplinary" work (encompassing multi-, inter-, and trans-disciplinary forms) as well as "cross-sector" work (spanning disciplines, fields, professions, government and industry, and communities). The first section of the book defines and explains boundary work, discourses of interdisciplinarity, and the nature of interdisciplinary fields. In the second section, Klein examines dynamics of working across disciplines, including communication, collaboration, and learning with concrete examples and lessons from research projects and programs that transcend traditional fields. The closing chapter examines reasons for failure and success then presents gateways to literature and other resources. Throughout the book, Klein emphasizes the roles of contextualization and historical change while factoring in the shifting relationship of disciplinarity and interdisciplinarity, ascendancy of transdisciplinarity, and intersections with other constructs including Mode 2 knowledge production, convergence, team science, and postdisciplinarity. The conceptual framework she provides also includes the role of boundary objects, agents, and organizations in brokering differences and creating for platforms for change. Klein further explains why translation, interlanguage, and a communication boundary space are vital to achieving intersubjectivity and collective identity. They foster not only pragmatics of negotiation and integration but also reflexivity, transactivity, and co-production of knowledge with stakeholders beyond the academy. Rhetorics of holism and synthesis compete with instrumentalities of problem solving and transgressive critiques. However, typical warrants today include complexity, contextualization, collaboration, and socially-robust knowledge. Crossing boundaries remains complex, but this book guides readers through the density of pertinent literature while expanding understandings of crossdisciplinary and cross-sector work.

The Handbook will address a range of issues that have emerged out of recent social and political theory. It will focus on key themes as opposed to schools of thought or major theorists. Each chapter is an emerging, cutting edge topic that is of interest both to social theory and to political theory. Most topics will have a clear and substantive focus on social or political problems.

This book explores how predictive processing, which argues that our brains are constantly generating and updating hypotheses about our external conditions, sheds new light on the nature of the mind. It shows how it is similar to and expands other theoretical approaches that emphasize the active role of the mind and its dynamic function. Offering a complete guide to the philosophical and empirical implications of predictive processing, contributors bring perspectives from philosophy, neuroscience, and psychology. Together, they explore the many philosophical applications of predictive processing and its exciting potential across mental health, cognitive science, neuroscience, and robotics. Presenting an extensive and balanced overview of the subject, The Philosophy and Science of Predictive Processing is a landmark volume within philosophy of mind.

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.

This Handbook provides an overview of neuroscience-driven research methodologies and how those methodologies might be applied to theory-based research in the nascent field of neuroentrepreneurship. It presents the current thinking and examples of pioneering work, serves as a reference for those wishing to incorporate these methods into their own research, and provides several helpful discussions on the nature of an answerable question using neuroscience techniques. It includes concrete examples of new ways to conduct research that can shed light onto such areas as decision-making and opportunity recognition, allowing us to ask different, perhaps better, questions than ever before.