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Evolutionary Games and Population Dynamics by Hofbauer, Josef

Description: Every form of behaviour is shaped by trial and error. Such stepwise adaptation can occur through individual learning or through natural selection, the basis of evolution. Since the work of Maynard Smith and others, it has been realised how game theory can model this process. Evolutionary game theory replaces the static solutions of classical game theory by a dynamical approach centred not on the concept of rational players but on the population dynamics of behavioural programmes. In this book the authors investigate the nonlinear dynamics of the self-regulation of social and economic behaviour, and of the closely related interactions between species in ecological communities. Replicator equations describe how successful strategies spread and thereby create new conditions which can alter the basis of their success, i.e. to enable us to understand the strategic and genetic foundations of the endless chronicle of invasions and extinctions which punctuate evolution. In short, evolutionary game theory describes when to escalate a conflict, how to elicit cooperation, why to expect a balance of the sexes, and how to understand natural selection in mathematical terms.

Price: 73.15 USD

Location: Hillsdale, NSW

End Time: 2025-02-10T18:01:57.000Z

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Evolutionary Games and Population Dynamics by Hofbauer, JosefEvolutionary Games and Population Dynamics by Hofbauer, Josef

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Return shipping will be paid by: Buyer

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Item must be returned within: 60 Days

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EAN: 9780521625708

UPC: 9780521625708

ISBN: 9780521625708

MPN: N/A

Number of Pages: 352 Pages

Language: English

Publication Name: Evolutionary Games and Population Dynamics

Publisher: Cambridge University Press

Publication Year: 1998

Item Height: 0.7 in

Subject: Demography, Life Sciences / Evolution, Applied

Type: Textbook

Item Weight: 22.2 Oz

Subject Area: Mathematics, Social Science, Science

Author: Karl Sigmund, Josef Hofbauer

Item Length: 9.7 in

Item Width: 7.4 in

Format: Trade Paperback

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