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Extending Ourselves: Computational Science, Empiricism, and Scientific Method, by Paul Humphreys
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Computational methods have become the dominant technique in many areas of science. This book contains the first systematic philosophical account of these new methods and their consequences for scientific method. This book will be of interest to philosophers of science and to anyone interested in the role played by computers in modern science.
- Sales Rank: #3025887 in Books
- Published on: 2007-01-21
- Original language: English
- Number of items: 1
- Dimensions: 6.00" h x .40" w x 8.90" l, .61 pounds
- Binding: Paperback
- 192 pages
Review
"Many of the issues raised here are important and and deserving of the attention the author pays to them." --Choice
"This book is an excellent philosophical appraisal of the roles played by computers in modern science...an excellent philosophical discussion of the role of computational models in physics."--Notre Dame Philosophical Reviews
About the Author
Paul Humphreys is chairman of the Department of Philosophy at the University of Virginia. A former editor of Synthese and a founding editor of Foundations of Science, his research interests include computer modeling, probability theory, strategic reasoning, emergence, causation, and explanation.
Most helpful customer reviews
7 of 7 people found the following review helpful.
Excellent and stimulating
By jimmie horgan
I can recommend this book to anyone interested in how computers are changing science. Although the book contains some technical material addressed to academic philosophers, most of the material is accessible to anyone interested in general issues of scientific method and overall the prose is exceptionally well written. There is one chapter on empiricism that ties together the use of instruments in science and the specifically computational material later in the book. Definitely recommended for anyone in computer science and scientific fields that use computers since this is the first book by a philosopher to discuss these new methods.
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