Online research in philosophy

How can the human mind represent the external world? What is thought, and can it be studied scientifically? Does it help to think of the mind as a kind of machine? Tim Crane sets out to answer questions like these in a lively and straightforward way, presuming no prior knowledge of philosophy or related disciplines. Since its first publication in 1995, The Mechanical Mind has introduced thousands of people to some of the most important ideas in contemporary philosophy of mind. Tim Crane explains some fundamental ideas that cut across philosophy of mind, artificial intelligence and cognitive science: what the mind-body problem is; what a computer is and how it works; what thoughts are and how computers and minds might have them. He examines different models of the mind from dualist to eliminativist, and questions whether there can be thought without language and whether the mind is subject to the same causal lsaws as natural phenomena. The result is a fascinating exploration of the theories and arguments surrounding the notions of thought and representation. The edition has been fully revised and updated, and includes a new chapter on consciousness and new sections on modularity and evolutionary psychology. There are also guides for further reading, a chronology and a new glossary of terms such as mentalese, connectionism and the homonculus fallacy. The Mechanical Mind is accessible to the general reader as well as students, and anyone interested in the mechanism of our minds.

Artificial intelligence, conceived either as an attempt to provide models of human cognition or as the development of programs able to perform intelligent tasks, is primarily interested in theuses of language. It should be concerned, therefore, withpragmatics. But its concern with pragmatics should not be restricted to the narrow, traditional conception of pragmatics as the theory of communication (or of the social uses of language). In addition to that, AI should take into account also the mental uses of language (in reasoning, for example) and the existential dimensions of language as a determiner of the world we (and our computers) live in. In this paper, the relevance of these three branches of pragmatics-sociopragmatics, psychopragmatics, and ontopragmatics-for AI are explored.

What is the mind? How does it work? How does it influence behavior? Some psychologists hope to answer such questions in terms of concepts drawn from computer science and artificial intelligence. They test their theories by modeling mental processes in computers. This book shows how computer models are used to study many psychological phenomena--including vision, language, reasoning, and learning. It also shows that computer modeling involves differing theoretical approaches. Computational psychologists disagree about some basic questions. For instance, should the mind be modeled by digital computers, or by parallel-processing systems more like brains? Do computer programs consist of meaningless patterns, or do they embody (and explain) genuine meaning?

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.

Husserl has finally begun to be recognized as the precursor of current interest in intentionality — the first to have a general theory of the role of mental representations in the philosophy of language and mind. As the first thinker to put directedness of mental representations at the center of his philosophy, he is also beginning to emerge as the father of current research in cognitive psychology and artificial intelligence.