Evolution, Games, and Economic Behaviour

Paperback | October 1, 1996

EditorFernando Vega-Redondo

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This 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 thenproceeds 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 stochasticperturbations. 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. Therecent 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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This 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 thenproceeds to the formulation of a theoretical f...

Fernando Vega-Redondo is at University of Alicante.

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Format:PaperbackDimensions:220 pages, 9.21 × 6.14 × 0.71 inPublished:October 1, 1996Publisher:Oxford University Press

The following ISBNs are associated with this title:

ISBN - 10:0198774729

ISBN - 13:9780198774723

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Table of Contents

1. Introduction2. Static Analysis3. Basic Dynamic Analysis4. Evolution in Social Environments5. Stochastic Evolution6. Evolution, Expectations, and DriftAppendices:1. Liapunov's Theorem. 2. A characterization of negative-definiteness. 3. Liouville's Theorem. 4. Invariant distribution.