Artificial intelligence, or AI, is a cross-disciplinary approach to understanding, modeling, and creating intelligence of various forms. It is a critical branch of cognitive science, and its influence is increasingly being felt in other areas, including the humanities. AI applications are transforming the way we interact with each other and with our environment, and work in artificially modeling intelligence is offering new insights into the human mind and revealing new forms mentality can take. This volume of original essays presents the state of the art in AI, surveying the foundations of the discipline, major theories of mental architecture, the principal areas of research, and extensions of AI such as artificial life. With a focus on theory rather than technical and applied issues, the volume will be valuable not only to people working in AI, but also to those in other disciplines wanting an authoritative and up-to-date introduction to the field.

Cognitive science is a cross-disciplinary enterprise devoted to understanding the nature of the mind. In recent years, investigators in philosophy, psychology, the neurosciences, artificial intelligence, and a host of other disciplines have come to appreciate how much they can learn from one another about the various dimensions of cognition. The result has been the emergence of one of the most exciting and fruitful areas of inter-disciplinary research in the history of science. This volume of original essays surveys foundational, theoretical, and philosophical issues across the discipline, and introduces the foundations of cognitive science, the principal areas of research, and the major research programs. With a focus on broad philosophical themes rather than detailed technical issues, the volume will be valuable not only to cognitive scientists and philosophers of cognitive science, but also to those in other disciplines looking for an authoritative and up-to-date introduction to the field.

This book explores the idea that we have two minds - one that is automatic, unconscious, and fast, the other controlled, conscious, and slow. In recent years there has been great interest in so-called dual-process theories of reasoning and rationality. According to dual processs theories, there are two distinct systems underlying human reasoning - an evolutionarily old system that is associative, automatic, unconscious, parallel, and fast, and a more recent, distinctively human system that is rule-based, controlled, conscious, serial, and slow. Within the former, processes are held to be innate and to use heuristics which evolved to solve specific adaptive problems. In the latter, processes are taken to be learned, flexible, and responsive to rational norms.
Despite the attention these theories are attracting, there is still poor communication between dual-process theorists themselves, and the substantial bodies of work on dual processes in cognitive psychology and social psychology remain isolated from each other. This book brings together leading researchers on dual-processes to summarize the state of the art, highlight key issues, present different perspectives, explore implications, and provide a stimulus to further work.
It includes new ideas about the human mind both by contemporary philosophers interested in broad theoretical questions about mental architecture and by psychologists specialising in traditionally distinct and isolated fields. For all those in the cognitive sciences, this is a book that will advance dual-process theorizing, promote interdisciplinary communication, and encourage further applications of dual-process approaches.

Mind and Supermind offers an alternative perspective on the nature of belief and the structure of the human mind. Keith Frankish argues that the folk-psychological term 'belief' refers to two distinct types of mental state, which have different properties and support different kinds of mental explanation. Building on this claim, he develops a picture of the human mind as a two-level structure, consisting of a basic mind and a supermind, and shows how the resulting account sheds light on a number of puzzling phenomena and helps to vindicate folk psychology. Topics discussed include the function of conscious thought, the cognitive role of natural language, the relation between partial and flat-out belief, the possibility of active belief formation, and the nature of akrasia, self-deception and first-person authority. This book will be valuable for philosophers, psychologists and cognitive scientists.

Mind and Supermind offers an alternative perspective on the nature of belief and the structure of the human mind. Keith Frankish argues that the folk-psychological term 'belief' refers to two distinct types of mental state, which have different properties and support different kinds of mental explanation. Building on this claim, he develops a picture of the human mind as a two-level structure, consisting of a basic mind and a supermind, and shows how the resulting account sheds light on a number of puzzling phenomena and helps to vindicate folk psychology. Topics discussed include the function of conscious thought, the cognitive role of natural language, the relation between partial and flat-out belief, the possibility of active belief formation, and the nature of akrasia, self-deception and first-person authority. This book will be valuable for philosophers, psychologists and cognitive scientists.

Artificial intelligence, or AI, is a cross-disciplinary approach to understanding, modeling, and creating intelligence of various forms. It is a critical branch of cognitive science, and its influence is increasingly being felt in other areas, including the humanities. AI applications are transforming the way we interact with each other and with our environment, and work in artificially modeling intelligence is offering new insights into the human mind and revealing new forms mentality can take. This volume of original essays presents the state of the art in AI, surveying the foundations of the discipline, major theories of mental architecture, the principal areas of research, and extensions of AI such as artificial life. With a focus on theory rather than technical and applied issues, the volume will be valuable not only to people working in AI, but also to those in other disciplines wanting an authoritative and up-to-date introduction to the field.

Cognitive science is a cross-disciplinary enterprise devoted to understanding the nature of the mind. In recent years, investigators in philosophy, psychology, the neurosciences, artificial intelligence, and a host of other disciplines have come to appreciate how much they can learn from one another about the various dimensions of cognition. The result has been the emergence of one of the most exciting and fruitful areas of inter-disciplinary research in the history of science. This volume of original essays surveys foundational, theoretical, and philosophical issues across the discipline, and introduces the foundations of cognitive science, the principal areas of research, and the major research programs. With a focus on broad philosophical themes rather than detailed technical issues, the volume will be valuable not only to cognitive scientists and philosophers of cognitive science, but also to those in other disciplines looking for an authoritative and up-to-date introduction to the field.