02105 a2200277 4500999001700000008004100017020001800058082001800076100002800094245007900122260002500201300002800226365001900254490004400273504004100317520114300358650002001501650002401521650001101545650004601556650001601602650005401618650002501672942001201697952011801709 c29803d29803191119b xxu||||| |||| 00| 0 eng d a9783319702049 a530.1595bJAV aJavarone, Marco Alberto aStatistical physics and computational methods for evolutionary game theory aChambSpringerc2018 aix, 74 p.bill.c24 cm. b49.99cEURd82 aSpringerBriefs in Complexityv2191-5334 aIncludes bibliographical references. aThis book presents an introduction to Evolutionary Game Theory (EGT) which is an emerging field in the area of complex systems attracting the attention of researchers from disparate scientific communities. EGT allows one to represent and study several complex phenomena, such as the emergence of cooperation in social systems, the role of conformity in shaping the equilibrium of a population, and the dynamics in biological and ecological systems. Since EGT models belong to the area of complex systems, statistical physics constitutes a fundamental ingredient for investigating their behavior. At the same time, the complexity of some EGT models, such as those realized by means of agent-based methods, often require the implementation of numerical simulations. Therefore, beyond providing an introduction to EGT, this book gives a brief overview of the main statistical physics tools (such as phase transitions and the Ising model) and computational strategies for simulating evolutionary games (such as Monte Carlo algorithms on lattices). this book will appeal to students and researchers in this burgeoning field of complex systems. aData processing aStatistical Physics aPython aStatistical Physics and Dynamical Systems aGame Theory aData-driven Science, Modeling and Theory Building aEvolutionary Biology 2ddccBK 00102ddc406530_159500000000000_JAV70939936aDAIICTbDAIICTd2019-11-14o530.1595 JAVp032164r2019-11-19yBK