Online research in philosophy

The so-called ‘cognitive revolution’ (Gardner, 1985) in American psychology owed much to developments in adjacent disciplines, especially theoretical linguistics and computer science. Indeed, the cognitive revolution brought forth, not only a change in the conception of psychology, but also an inter-disciplinary approach to understanding the mind, involving philosophy, anthropology and neuroscience along with computer science, linguistics and psychology. Many commentators agree in dating the conception of this inter-disciplinary approach, cognitive science, to 11 September 1956, the second day of a symposium on information theory held at MIT (Miller, 2003). Over the next twenty years or so, cognitive science developed an institutional presence through research centres, conferences, journals, and a substantial infusion of funds from the Alfred P. Sloan Foundation.

The past three decades have witnessed a remarkable growth of research interest in the mind. This trend has been acclaimed as the ‘cognitive revolution’ in psychology. At the heart of this revolution lies the claim that the mind is a computational system. The purpose of this paper is both to elucidate this claim and to evaluate its implications for cognitive psychology. The nature and scope of cognitive psychology and cognitive science are outlined, the principal assumptions underlying the information processing approach to cognition are summarised and the nature of artificial intelligence and its relationship to cognitive science are explored. The ‘computational metaphor’ of mind is examined and both the theoretical and methodological issues which it raises for cognitive psychology are considered. Finally, the nature and significance of ‘connectionism’—the latest paradigm in cognitive science—are briefly reviewed.

It is often assumed that cognitive science is built upon folk psychology, and that challenges to folk psychology are therefore challenges to cognitive science itself. We argue that, in practice, cognitive science and folk psychology treat entirely non-overlapping domains: cognitive science considers aspects of mental life which do not depend on general knowledge, whereas folk psychology considers aspects of mental life which do depend on general knowledge. We back up our argument on theoretical grounds, and also illustrate the separation between cognitive scientific and folk psychological phenomena in a number of cognitive domains. We consider the methodological and theoretical significance of our arguments for cognitive science research.

It has recently been argued that the success of the connectionist program in cognitive science would threaten folk psychology. I articulate and defend a "minimalist" construal of folk psychology that comports well with empirical evidence on the folk understanding of belief and is compatible with even the most radical developments in cognitive science.

This essential book provides a comprehensive explanation of the key topics and debates arising in the philosophy of psychology. In editors William O'Donohue and Richard Kitchener's thoughtful examination, philosophy and psychology converge on several themes of great importance such as the foundations of knowledge, the nature of science, rationality, behaviorism, cognitive science, folk psychology, neuropsychology, psychoanalysis, professionalism, and research ethics. The Philosophy of Psychology also provides an in-depth discussion of ethics in counseling and psychiatry while exploring the diverse topics listed above. The internationally renowned group of contributors to this volume both stimulating and informative. The Philosophy of Psychology will be invaluable for students and academics in theories and systems in psychology, cognitive psychology, cognitive science, philosophy of the social sciences, philosophy of the mind, and related courses.

A translation of the renowned French reference book, Vocabulaire de sciences cognitives , the Dictionary of Cognitive Science presents comprehensive definitions of more than 120 terms. The editor and advisory board of specialists have brought together 60 internationally recognized scholars to give the reader a comprehensive understanding of the most current and dynamic thinking in cognitive science. Topics range from Abduction to Writing, and each entry covers its subject from as many perspectives as possible within the domains of psychology, artificial intelligence, neuroscience, philosophy, and linguistics. This multidisciplinary work is an invaluable resource for all collections.

This paper considers the past and future of Psychology within Cognitive Science. In the history section, I focus on three questions: (a) how has the position of Psychology evolved within Cognitive Science, relative to the other disciplines that make up Cognitive Science; (b) how have particular Cognitive Science areas within Psychology waxed or waned; and (c) what have we gained and lost. After discussing what’s happened since the late 1970s, when the Society and the journal began, I speculate about where the field is going.

Buchanan and Darden have provided compelling reasons why philosophers of science concerned with the nature of scientific discovery should be aware of current work in artificial intelligence. This paper contends that artificial intelligence is even more than a source of useful analogies for the philosophy of discovery: the two fields are linked by interfield connections between philosophy of science and cognitive psychology and between cognitive psychology and artificial intelligence. Because the philosophy of discovery must pay attention to the psychology of practicing scientists, and because current cognitive psychology adopts a computational view of mind with AI providing the richest models of how the mind works, the philosophy of discovery must also concern itself with AI models of mental operations. The relevance of the artificial intelligence notion of a frame to the philosophy of discovery is briefly discussed.

This article critically examines the views that psychology ?rst came into existence as a discipline ca. 1879, that philosophy and psychology were estranged in the ensuing decades, that psychology ?nally became scienti?c through the in?uence of logical empiricism, and that it should now disappear in favor of cognitive science and neuroscience. It argues that psychology had a natural philosophical phase (from antiquity) that waxed in the seventeenth and eighteenth centuries, that this psychology transformed into experimental psychology ca. 1900, that philosophers and psychologists collaboratively discussed the subject matter and methods of psychology in the ?rst two decades of the twentieth century, that the neobehaviorists were not substantively in?uenced by the Vienna Circle, that the study of perception and cognition in psy- chology did not disappear in the behaviorist period and so did not reemerge as a result of arti?cial intelligence, linguistics, and the computer analogy, that although some psychologists adopted the language-of-thought approach of traditional cognitive science, many did not, and that psychology will not go away because it contributes independently of cognitive science and neuroscience.

Cognitive science is the interdisciplinary investigation of mind and intelligence, embracing psychology, neuroscience, anthropology, artificial intelligence, and philosophy. There are many important philosophical questions related to this investigation, but this short chapter will focus on the following three. What is the nature of the explanations and theories developed in cognitive science? What are the relations among the five disciplines that comprise cognitive science? What are the implications of cognitive science research for general issues in the philosophy of science? I will argue that cognitive theories and explanations depend on representations of mechanisms and that the relations among the five disciplines, especially psychology and neuroscience, depend on relations between kinds of mechanisms. These conclusions have implications for central problems in general philosophy of science such as the nature of theories, explanations, and reduction between theories at different levels.