George Herbert Mead (1863-1931) had a powerful influence on the development of American pragmatism in the twentieth century. He also had a strong impact on the social sciences. This classic book represents Mead's philosophy of experience, so central to his outlook. The present as unique experience is the focus of this deep analysis of the basic structure of temporality and consciousness. Mead emphasizes the novel character of both the present and the past. Though science is predicated on the assumption that (...) the present is predictable based on a thorough knowledge of the past, the experience of the present, says Mead, is an utterly unique moment comparable to no other, and when it is past the novel character of that unique experience is irrevocable. The emergence of novelty within the perceived rational order of reality is the crux of the problem that Mead explores. The present, in his words, is "the emergent event . . . something which is more than the processes that have led up to it and which by its change, continuance, or disappearance, adds to later passages a content they would not otherwise have possessed." The present as "the seat of reality" heavily conditions our retrospective view of the past as much as it helps to shape the future. The novelty of every present experience causes us to reconstruct our preceding experiences to make sense of the past, which is naturally assumed to be the main cause of what we presently experience. Our perspective on reality is thus relative to the conditioning of each new event and it changes continuously as the effects of the present shift our view of the past and future. This emphasis on the integrative, holistic nature of reality, in which everything past, present, and future is a condition of everything else, makes Mead's philosophy highly relevant to today's scientific picture of a quantum universe, where chance and probability play a role in the emergence of reality. Also of great interest is the way in which he extends his basic analysis of temporal-spatial reality to the emergence of mind and consciousness as a natural development of the evolutionary process. This stimulating and provocative work attests to John Dewey's praise of Mead as "the most original mind in philosophy in America" of his generation. (shrink)

Most readers will agree with the starting assumptions of Klee that contemporary science and philosophy assume a primarily micro-deterministic view of nature–and that this has long been the case, or was at least until the 1970s. Defending a strict micro-determinism, Klee argues that concepts of emergence that seemingly are opposed to micro-determinist doctrine can be shown, on analysis, to be ultimately consistent with a thoroughgoing philosophy of micro-determinism. An exception is made, however, in the case of my own view, labeled (...) “direct macro-determinism,” which he describes as “ultimately more troublesome” but then disposes of as being based on “simplistic analogies” and “metaphors” and “too weak to be conclusive.”. (shrink)

Simonton examines the idea of the genius through his own theory called chance-configuration theory.

Little, Brown, 1992 Review by Glenn Branch on Jul 5th 1999 Volume: 3, Number: 27.

Introduction — Reductive and Nonreductive Physicalism A Short Survey of Six Decades of Philosophical Discussion Including an Attempt to Formulate a Version ...

An analysis of two heuristic strategies for the development of mechanistic models, illustrated with historical examples from the life sciences. In Discovering Complexity, William Bechtel and Robert Richardson examine two heuristics that guided the development of mechanistic models in the life sciences: decomposition and localization. Drawing on historical cases from disciplines including cell biology, cognitive neuroscience, and genetics, they identify a number of "choice points" that life scientists confront in developing mechanistic explanations and show how different choices result in divergent (...) explanatory models. Describing decomposition as the attempt to differentiate functional and structural components of a system and localization as the assignment of responsibility for specific functions to specific structures, Bechtel and Richardson examine the usefulness of these heuristics as well as their fallibility—the sometimes false assumption underlying them that nature is significantly decomposable and hierarchically organized. When Discovering Complexity was originally published in 1993, few philosophers of science perceived the centrality of seeking mechanisms to explain phenomena in biology, relying instead on the model of nomological explanation advanced by the logical positivists (a model Bechtel and Richardson found to be utterly inapplicable to the examples from the life sciences in their study). Since then, mechanism and mechanistic explanation have become widely discussed. In a substantive new introduction to this MIT Press edition of their book, Bechtel and Richardson examine both philosophical and scientific developments in research on mechanistic models since 1993. (shrink)

A fascinating analysis of human language and its influence on other disciplines by one of the nation's most respected linguists. Chomsky is also the author of What Uncle Sam Really Wants and The Prosperous Few and the Restless Many (15,000 copies sold).

How is it possible to think new thoughts? What is creativity and can science explain it? And just how did Coleridge dream up the creatures of The Ancient Mariner? When The Creative Mind: Myths and Mechanisms was first published, Margaret A. Boden's bold and provocative exploration of creativity broke new ground. Boden uses examples such as jazz improvisation, chess, story writing, physics, and the music of Mozart, together with computing models from the field of artificial intelligence to uncover the nature (...) of human creativity in the arts. The second edition of The Creative Mind has been updated to include recent developments in artificial intelligence, with a new preface, introduction and conclusion by the author. It is an essential work for anyone interested in the creativity of the human mind. (shrink)

Computing Methodologies -- Artificial Intelligence.

In treating cognition as problem solving, Andy Clark suggests, we may often abstract too far from the very body and world in which our brains evolved to guide...