Extending ourselves : computational science, empiricism, and scientific method
著者
書誌事項
Extending ourselves : computational science, empiricism, and scientific method
Oxford University Press, 2004
- : hbk
- : [pbk]
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注記
Includes bibliographical references (p. 157-167) and index
Size of paperback: 23 cm
内容説明・目次
- 巻冊次
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: hbk ISBN 9780195158700
内容説明
The first part of this book is an exploration of the ways in which computationally assisted science is fundamentally reshaping science. The second part provides a new account of empiricism suitable for contemporary science, whose purpose is to reconcile a modest but selective scientific realism with scientific empiricism - two approaches long opposed to one another.
- 巻冊次
-
: [pbk] ISBN 9780195313291
内容説明
Computational methods such as computer simulations, Monte Carlo methods, and agent-based modeling have become the dominant techniques in many areas of science. Extending Ourselves contains the first systematic philosophical account of these new methods, and how they require a different approach to scientific method. Paul Humphreys draws a parallel between the ways in which such computational methods have enhanced our abilities to mathematically model the
world, and the more familiar ways in which scientific instruments have expanded our access to the empirical world. This expansion forms the basis for a new kind of empiricism, better suited to the needs of science than the older anthropocentric forms of empiricism. Human abilities are no longer the ultimate
standard of epistemological correctness.
Humphreys also includes arguments for the primacy of properties rather than objects, the need to consider technological constraints when appraising scientific methods, and a detailed account of how the path from computational template to scientific application is constructed. This last feature allows us to hold a form of selective realism in which anti-realist arguments based on formal reconstructions of theories can be avoided. One important consequence of the rise of computational methods
is that the traditional organization of the sciences is being replaced by an organization founded on computational templates.
Extending Ourselves will be of interest to philosophers of science, epistemologists, and to anyone interested in the role played by computers in modern science.
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