Discovering Complexity by William Bechtel - ISBN: 9780262514736
Paperback
An analysis of two heuristic strategies for the development of mechanistic models, illustrated with historical examples from the life sciences.

Discovering Complexity

Decomposition and Localization as Strategies in Scientific Research

$78.61

  • Paperback

    340 pages

  • Release Date

    6 August 2010

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Summary

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 sci…

Book Details

ISBN-13:9780262514736
ISBN-10:0262514737
Author:William Bechtel, Robert C. Richardson
Publisher:MIT Press Ltd
Imprint:MIT Press
Format:Paperback
Number of Pages:340
Release Date:6 August 2010
Weight:476g
Dimensions:229mm x 152mm x 19mm
Series:Discovering Complexity
What They're Saying

Critics Review

“In Discovering Complexity, Bechtel and Richardson sketched a blueprint for a post-reductive philosophy of science grounded in historical examples and focused on major heuristics and biases in the search for mechanisms. Many of the ideas in this book are as fresh today as they were when the book was first published; others have become the widely accepted background in the new mechanistic philosophy of science.” Carl F. Craver, Washington University in St. Louis, author of Explaining the Brain “The first edition of Discovering Complexity pioneered what has come to be called ‘the new mechanistic philosophy,’ with original analyses of mechanistic explanation and the heuristics for discovering mechanisms in genetics, cell biology, and neuroscience. Having it back in print is a real service to philosophers and scientists investigating biological mechanisms, as well as critics of this approach. The new introduction is well worth reading on its own for an overview of the book’s arguments, as well as summaries of the authors’ more recent work on dynamic mechanistic explanations, discovery heuristics, emergence in systems biology, and circadian rhythms.” Lindley Darden, University of Maryland, College Park “The original edition of Discovering Complexity was a landmark in the philosophy of science, with path-breaking accounts of explanation, mechanism, and the development of biological knowledge. This reissue is highly welcome, especially with the excellent new introduction that contains insightful updates about mechanisms, discovery, localization, emergence, and other crucial aspects of science.” Paul Thagard, University of Waterloo, author of The Brain and the Meaning of Life “This classic of mechanistic analysis and explanation has been out of print for some years. It is reissued with a substantive new review of the explosion of interest in mechanistic explanation in philosophy of science and the crucial interpenetration of scientific and philosophical interests it represents. I welcome its return in even better form. MIT has done the profession a major service by reissuing this book. It should be required reading in any philosophy of science curriculum.” William C. Wimsatt, Peter M. Ritzma Professor of Philosophy, The University of Chicago

About The Author

William Bechtel

William Bechtel is Professor of Philosophy at the University of California, San Diego, and a Fellow of the American Association for the Advancement of Science. He is the author of Mental Mechanisms- Philosophical Perspectives on Cognitive Neuroscience and other books.Robert C. Richardson is Charles Phelps Taft Professor of Philosophy and a University Distinguished Research Professor at the University of Cincinnati, and a Fellow of the American Association for the Advancement of Science. He is the author of Evolutionary Psychology as Maladapted Psychology (MIT Press, 2007).

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