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Adaptation in stochastic environments

The classical theory of natural selection, as developed by Fisher, Haldane, and 'Wright, and their followers, is in a sense a statistical theory. By and large the classical theory assumes that the underlying environment in which evolution transpires is both constant and stable - the theory is i...

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Detalles Bibliográficos
Autores principales: Yoshimura, Jin, Clark, Colib
Lenguaje:eng
Publicado: Springer 1993
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-642-51483-8
http://cds.cern.ch/record/2006201
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author Yoshimura, Jin
Clark, Colib
author_facet Yoshimura, Jin
Clark, Colib
author_sort Yoshimura, Jin
collection CERN
description The classical theory of natural selection, as developed by Fisher, Haldane, and 'Wright, and their followers, is in a sense a statistical theory. By and large the classical theory assumes that the underlying environment in which evolution transpires is both constant and stable - the theory is in this sense deterministic. In reality, on the other hand, nature is almost always changing and unstable. We do not yet possess a complete theory of natural selection in stochastic environ­ ments. Perhaps it has been thought that such a theory is unimportant, or that it would be too difficult. Our own view is that the time is now ripe for the development of a probabilistic theory of natural selection. The present volume is an attempt to provide an elementary introduction to this probabilistic theory. Each author was asked to con­ tribute a simple, basic introduction to his or her specialty, including lively discussions and speculation. We hope that the book contributes further to the understanding of the roles of "Chance and Necessity" (Monod 1971) as integrated components of adaptation in nature.
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spelling cern-20062012021-04-21T20:23:34Zdoi:10.1007/978-3-642-51483-8http://cds.cern.ch/record/2006201engYoshimura, JinClark, ColibAdaptation in stochastic environmentsMathematical Physics and MathematicsThe classical theory of natural selection, as developed by Fisher, Haldane, and 'Wright, and their followers, is in a sense a statistical theory. By and large the classical theory assumes that the underlying environment in which evolution transpires is both constant and stable - the theory is in this sense deterministic. In reality, on the other hand, nature is almost always changing and unstable. We do not yet possess a complete theory of natural selection in stochastic environ­ ments. Perhaps it has been thought that such a theory is unimportant, or that it would be too difficult. Our own view is that the time is now ripe for the development of a probabilistic theory of natural selection. The present volume is an attempt to provide an elementary introduction to this probabilistic theory. Each author was asked to con­ tribute a simple, basic introduction to his or her specialty, including lively discussions and speculation. We hope that the book contributes further to the understanding of the roles of "Chance and Necessity" (Monod 1971) as integrated components of adaptation in nature.Springeroai:cds.cern.ch:20062011993
spellingShingle Mathematical Physics and Mathematics
Yoshimura, Jin
Clark, Colib
Adaptation in stochastic environments
title Adaptation in stochastic environments
title_full Adaptation in stochastic environments
title_fullStr Adaptation in stochastic environments
title_full_unstemmed Adaptation in stochastic environments
title_short Adaptation in stochastic environments
title_sort adaptation in stochastic environments
topic Mathematical Physics and Mathematics
url https://dx.doi.org/10.1007/978-3-642-51483-8
http://cds.cern.ch/record/2006201
work_keys_str_mv AT yoshimurajin adaptationinstochasticenvironments
AT clarkcolib adaptationinstochasticenvironments