Philosophy And Theory of Artificial Intelligence

This book reports on the results of the third edition of the premier conference in the field of philosophy of artificial intelligence, PT-AI 2017, held on November 4 - 5, 2017 at the University of Leeds, UK. It covers: advanced knowledge on key AI concepts, including complexity, computation, creativity, embodiment, representation and superintelligence; cutting-edge ethical issues, such as the AI impact on human dignity and society, responsibilities and rights of machines, as well as AI threats to humanity and AI safety; and cutting-edge developments in techniques to achieve AI, including machine learning, neural networks, dynamical systems. The book also discusses important applications of AI, including big data analytics, expert systems, cognitive architectures, and robotics. It offers a timely, yet very comprehensive snapshot of what is going on in the field of AI, especially at the interfaces between philosophy, cognitive science, ethics and computing.

This book, the second of two-volumes, builds on the unification of Artificial Intelligence and Psychology to explore its consequences. In doing so, this volume unifies three pivotal phenomena of Cognitive Science and AI: knowledge, consciousness and emotions. The extended Theory of Noémon Systems expounds ramifications for cognitive science, philosophy of mind, mathematics, and the issue of the unity of science and art. It also discusses the similarities and differences between humans and AI/robot systems with respect to consciousness, emotions and scientific knowledge. As with the first volume, this book will appeal to scientists working on the interfaces of psychology, AI, philosophy of mind, neuroscience, and the humanities. The complicated and extensive unification of the fields of Artificial Intelligence and psychology breaks entirely new ground for both disciplines, with thought-provoking and compelling implications for both.