Population Games and Evolutionary Dynamics (Economic Learning and Social Evolution)

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9780262195874: Population Games and Evolutionary Dynamics (Economic Learning and Social Evolution)
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A systematic, rigorous, comprehensive, and unified overview of evolutionary game theory.

This text offers a systematic, rigorous, and unified presentation of evolutionary game theory, covering the core developments of the theory from its inception in biology in the 1970s through recent advances. Evolutionary game theory, which studies the behavior of large populations of strategically interacting agents, is used by economists to make predictions in settings where traditional assumptions about agents' rationality and knowledge may not be justified. Recently, computer scientists, transportation scientists, engineers, and control theorists have also turned to evolutionary game theory, seeking tools for modeling dynamics in multiagent systems. Population Games and Evolutionary Dynamics provides a point of entry into the field for researchers and students in all of these disciplines. The text first considers population games, which provide a simple, powerful model for studying strategic interactions among large numbers of anonymous agents. It then studies the dynamics of behavior in these games.

By introducing a general model of myopic strategy revision by individual agents, the text provides foundations for two distinct approaches to aggregate behavior dynamics: the deterministic approach, based on differential equations, and the stochastic approach, based on Markov processes. Key results on local stability, global convergence, stochastic stability, and nonconvergence are developed in detail. Ten substantial appendixes present the mathematical tools needed to work in evolutionary game theory, offering a practical introduction to the methods of dynamic modeling. Accompanying the text are more than 200 color illustrations of the mathematics and theoretical results; many were created using the Dynamo software suite, which is freely available on the author's Web site. Readers are encouraged to use Dynamo to run quick numerical experiments and to create publishable figures for their own research.

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About the Author:

William H. Sandholm is Professor of Economics at the University of Wisconsin--Madison.

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Authoritative, comprehensive, and readable, Sandholm's Population Games and Evolutionary Dynamics is destined to become the standard reference and textbook in its field for many years. It will be a required text in any graduate classes I teach in evolutionary game theory.

(Daniel Friedman, Professor of Economics, University of California, Santa Cruz)

Population Games and Evolutionary Dynamics provides a thorough and self-contained treatment of evolutionary game theory, along with a generous number of exercises and detailed appendices on the relevant mathematics. It will make an excellent text, as well as a very useful math reference for economic theorists.

(Drew Fudenberg, Professor of Economics, Harvard University)

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Book Description MIT Press Ltd. Condition: New. 2010. Hardcover. A systematic, rigorous, comprehensive, and unified overview of evolutionary game theory. Series: Economic Learning and Social Evolution. Num Pages: 616 pages, 188 figures (all in color). BIC Classification: KCA. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 238 x 186 x 32. Weight in Grams: 1304. . . . . . Books ship from the US and Ireland. Seller Inventory # V9780262195874

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Book Description MIT Press Ltd, United States, 2010. Hardback. Condition: New. Language: English . Brand New Book. A systematic, rigorous, comprehensive, and unified overview of evolutionary game theory.This text offers a systematic, rigorous, and unified presentation of evolutionary game theory, covering the core developments of the theory from its inception in biology in the 1970s through recent advances. Evolutionary game theory, which studies the behavior of large populations of strategically interacting agents, is used by economists to make predictions in settings where traditional assumptions about agents rationality and knowledge may not be justified. Recently, computer scientists, transportation scientists, engineers, and control theorists have also turned to evolutionary game theory, seeking tools for modeling dynamics in multiagent systems. Population Games and Evolutionary Dynamics provides a point of entry into the field for researchers and students in all of these disciplines. The text first considers population games, which provide a simple, powerful model for studying strategic interactions among large numbers of anonymous agents. It then studies the dynamics of behavior in these games.By introducing a general model of myopic strategy revision by individual agents, the text provides foundations for two distinct approaches to aggregate behavior dynamics: the deterministic approach, based on differential equations, and the stochastic approach, based on Markov processes. Key results on local stability, global convergence, stochastic stability, and nonconvergence are developed in detail. Ten substantial appendixes present the mathematical tools needed to work in evolutionary game theory, offering a practical introduction to the methods of dynamic modeling. Accompanying the text are more than 200 color illustrations of the mathematics and theoretical results; many were created using the Dynamo software suite, which is freely available on the author s Web site. Readers are encouraged to use Dynamo to run quick numerical experiments and to create publishable figures for their own research. Seller Inventory # AAU9780262195874

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Book Description MIT Press Ltd, United States, 2010. Hardback. Condition: New. Language: English . Brand New Book. A systematic, rigorous, comprehensive, and unified overview of evolutionary game theory.This text offers a systematic, rigorous, and unified presentation of evolutionary game theory, covering the core developments of the theory from its inception in biology in the 1970s through recent advances. Evolutionary game theory, which studies the behavior of large populations of strategically interacting agents, is used by economists to make predictions in settings where traditional assumptions about agents rationality and knowledge may not be justified. Recently, computer scientists, transportation scientists, engineers, and control theorists have also turned to evolutionary game theory, seeking tools for modeling dynamics in multiagent systems. Population Games and Evolutionary Dynamics provides a point of entry into the field for researchers and students in all of these disciplines. The text first considers population games, which provide a simple, powerful model for studying strategic interactions among large numbers of anonymous agents. It then studies the dynamics of behavior in these games.By introducing a general model of myopic strategy revision by individual agents, the text provides foundations for two distinct approaches to aggregate behavior dynamics: the deterministic approach, based on differential equations, and the stochastic approach, based on Markov processes. Key results on local stability, global convergence, stochastic stability, and nonconvergence are developed in detail. Ten substantial appendixes present the mathematical tools needed to work in evolutionary game theory, offering a practical introduction to the methods of dynamic modeling. Accompanying the text are more than 200 color illustrations of the mathematics and theoretical results; many were created using the Dynamo software suite, which is freely available on the author s Web site. Readers are encouraged to use Dynamo to run quick numerical experiments and to create publishable figures for their own research. Seller Inventory # AAU9780262195874

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