Evolution, Games and Economic Behaviour
Edited by Fernando Vega-Redondo
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Evolution, Games and Economic Behaviour by Fernando Vega-Redondo
Book DescriptionThis textbook for advanced undergraduate and postgraduate students of Evolutionary Game Theory covers recent developments in the field, with an emphasis on economic contexts and applications. It begind with the basic ideas as they originated within the field of theoretical biology and then proceeds to the formulation of a theoretical framework that is suitable for the study of social and economic phenomena from an evolutionary perspective. Core topics include the Evolutionary Stable Strategy (EES) and Replicator Dynamics (RD), deterministic dynamic models, and stochastic perturbations. A set of short appendices presents some of the technical material referred to in the main text. Evolutionary theory is widely viewed as one of the most promising appraoches to understanding bounded rationality, learning, and change in complex social environments. New avenues of research are suggested by Vega-Redondo, and plentiful examples illustrate the theory's potential applications. The recent boom experienced by this discipline makes the book's systematic presentation of its essential contributions vital reading for any newcomer to the field.
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Book DetailsISBN: 9780198774723
(235mm x 155mm x 18mm)
Imprint: Oxford University Press
Publisher: Oxford University Press
Publish Date: 26-Sep-1996
Country of Publication: United Kingdom
Books By Author Fernando Vega-Redondo
Complex Social Networks, Paperback (January 2007)
This 2007 book discusses the modern theory of complex networks in a systematic and self-contained fashion.
Economics and the Theory of Games, Paperback (July 2003)
This textbook is designed for students in economics seeking a self-contained approach to game theory.
Evolution, Games and Economic Behaviour, Hardback (September 1996)» View all books by Fernando Vega-Redondo
This graduate textbook covers recent developments in evolution theory with emphasis on economic contexts and applications. It includes the recent stochastic evolutionary framework that has been developed (and widely applied) in recent years.
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