Symmetry and collective fluctuations in evolutionary games /

Evolutionary game theory has the potential to provide an integrated framework to model many aspects of evolution, development, and ecology. The reliable use of game models, however, requires an understanding of their behaviour when the number of players becomes very large, resulting in the emergenc...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Smith, Eric (Autor), Krishnamurthy, Supriya (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2015]
Colección:IOP (Series). Release 2.
IOP expanding physics.
Temas:
Evolution > Mathematical models.
Game theory.
Mathematical physics.
SCIENCE / Physics / Mathematical & Computational.
Acceso en línea:Texto completo

MARC

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100 1 |a Smith, Eric,  |e author. 
245 1 0 |a Symmetry and collective fluctuations in evolutionary games /  |c Eric Smith, Supriya Krishnamurthy. 
264 1 |a Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) :  |b IOP Publishing,  |c [2015] 
300 |a 1 online resource (various pagings) :  |b illustrations (some color). 
336 |a text  |2 rdacontent 
337 |a electronic  |2 isbdmedia 
338 |a online resource  |2 rdacarrier 
490 1 |a IOP expanding physics,  |x 2053-2563 
490 1 |a [IOP release 2] 
500 |a "Version: 20150101"--Title page verso. 
504 |a Includes bibliographical references. 
505 0 |a Preface -- Author biography -- Introduction : bringing together Darwinian evolution and games -- Transmission, development, selection : the Price equation and the role of games -- Extensive-form games : from genomes to genes -- Symmetry and collective fluctuations : large deviations and scaling in population processes -- Discrete symmetries and emergent multiscale dynamics -- Limit cycles and noisy clocks -- Neutral directions and evolutionary entropy -- Complex neutral spaces and 'dressed' genes -- One game theory. 
520 3 |a Evolutionary game theory has the potential to provide an integrated framework to model many aspects of evolution, development, and ecology. The reliable use of game models, however, requires an understanding of their behaviour when the number of players becomes very large, resulting in the emergence of thermodynamic limits. This behaviour is controlled by the symmetries that characterize the game, and the approach to the thermodynamic limit is governed by collective fluctuations in the actions of the players. In this book, the authors present methods to derive large-deviations limits for population processes, and apply these to game models illustrating the many roles of symmetry and collective fluctuations in evolutionary dynamics. 
521 |a Researchers in statistical physics, maths, evolutionary biology, complex systems, computer science, economics and econophysics. 
530 |a Also available in print. 
538 |a Mode of access: World Wide Web. 
538 |a System requirements: Adobe Acrobat Reader. 
545 |a "Eric Smith received his BSc in Physics and Mathematics from the California Institute of Technology in 1987 and his PhD in Physics from The University of Texas at Austin in 1993, with a dissertation on problems in string theory and high-temperature superconductivity. From 1993 to 2000, he worked in physical, nonlinear, and statistical acoustics at the Applied Research Labs: The University of Texas at Austin, and at the Los Alamos National Laboratory. From 2000, he has worked at the Santa Fe Institute on problems of self-organization in thermal, chemical, and biological systems. A focus of his current work is the statistical mechanics of the transition from the geochemistry of the early earth to the first levels of biological organization, with some emphasis on the emergence of the metabolic network. Supriya Krishnamurthy received her BSc and MSc degrees in Physics from Hansraj College, Delhi University and I.I.T Kanpur respectively and a PhD degree, in Non-Equilibrium Statistical Mechanics, from the Tata Institute of Fundamental Research in Bombay in 1998. After her PhD she worked as a post-doctoral researcher in Paris at the Ecole Supérieure de Physique et de Chimie Industrielles, at the Theoretical Physics Department of the University of Oxford and at the Santa Fe Institute. She has worked at the Swedish Institute of Computer Science SICS, Stockholm as a senior researcher (2004-2009) and as an assistant professor at the Royal Institute of Technology at Stockholm (2006-2008). Currently, she is an associate professor at the Department of Physics at the University of Stockholm. She has also been associated with the Santa Fe Institute during 2005-2011 as external faculty. Her research interests include understanding both fundamental as well as interdisciplinary applications of non-equilibrium statistical mechanics." 
588 |a Title from PDF title page (viewed on March 3, 2015). 
650 0 |a Evolution  |x Mathematical models. 
650 0 |a Game theory. 
650 7 |a Mathematical physics.  |2 bicssc. 
650 7 |a SCIENCE / Physics / Mathematical & Computational.  |2 bisacsh 
700 1 |a Krishnamurthy, Supriya,  |e author. 
710 2 |a Institute of Physics (Great Britain),  |e publisher. 
776 0 8 |i Print version:  |z 9780750311380 
830 0 |a IOP (Series).  |p Release 2. 
830 0 |a IOP expanding physics. 
856 4 0 |u https://iopscience.uam.elogim.com/book/978-0-7503-1137-3  |z Texto completo 

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