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Evolutionary Game Theory, Natural Se...
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Brown, Joel.
Evolutionary Game Theory, Natural Selection, and Darwinian Dynamics.
紀錄類型:
書目-語言資料,印刷品 : 單行本
正題名/作者:
Evolutionary Game Theory, Natural Selection, and Darwinian Dynamics./
作者:
Vincent, Thomas.
其他作者:
Brown, Joel.
出版者:
Cambridge :Cambridge University Press, : 2005.,
面頁冊數:
402 p.
標題:
Evolution. -
電子資源:
Click here to view book
ISBN:
9780511112928 (electronic bk.)
Evolutionary Game Theory, Natural Selection, and Darwinian Dynamics.
Vincent, Thomas.
Evolutionary Game Theory, Natural Selection, and Darwinian Dynamics.
[electronic resource]. - Cambridge :Cambridge University Press,2005. - 402 p.
Cover; Half-title; Title; Copyright; Dedication; Contents; Figures; Preface; 1 Understanding natural selection; 2 Underlying mathematics and philosophy; 3 The Darwinian game; 4 G -functions for the Darwinian game; 5 Darwinian dynamics; 6 Evolutionarily stable strategies; 7 The ESS maximum principle; 8 Speciation and extinction; 9 Matrix games; 10 Evolutionary ecology; 11 Managing evolving systems; References; Index
Many topics in natural selection are investigated including co-evolution, speciation, and extinction. It may be described as a book on mathematical Darwinism. Darwin used logical verbal arguments to understand evolution. These arguments are presented here in a mathematical setting useful for both understanding evolution and allowing for prediction as well.
Electronic reproduction.
Available via World Wide Web.
Mode of access: World Wide Web.
ISBN: 9780511112928 (electronic bk.)Subjects--Topical Terms:
494842
Evolution.
Index Terms--Genre/Form:
498447
Electronic books.
LC Class. No.: QA269 .V56 2005eb
Dewey Class. No.: 576.8/01/5193
Evolutionary Game Theory, Natural Selection, and Darwinian Dynamics.
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Many topics in natural selection are investigated including co-evolution, speciation, and extinction. It may be described as a book on mathematical Darwinism. Darwin used logical verbal arguments to understand evolution. These arguments are presented here in a mathematical setting useful for both understanding evolution and allowing for prediction as well.
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