http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Evolutionary games in natural, social, and virtual worlds
1 online resource (xv, 417 pages) : illustrations
Authors Daniel Friedman and Barry Sinervo show how to use theoretical developments in evolutionary game theory to build useful models describing parts of the worlds we live in - the natural world of biology, the social world of politics, economics, etc., and the virtual world that is emerging from our connected electronic devices.
Part 1: Basics ; 1. Population Dynamics ; 1.1. Fitness ; 1.2. Tradeoffs and fitness dependence ; 1.3. Dependence on environment, density, and frequency ; 1.4. State space geometry ; 1.5. Memes and genes ; 1.6. Finite populations and randomness 1.7. Replicator dynamics in discrete time 1.8. Replicator dynamics in continuous time ; 1.9. Steady states and stability ; 1.10. Sexual dynamics ; 1.11. Discussion ; Appendix A: Derivation of the Fisher equation ; Appendix B: Replicator dynamics, mean fitness, and entropy ; Exercises Notes Bibliography ; 2. Simple Frequency Dependence ; 2.1. The Hawk-Dove game ; 2.2. H-D parameters and dynamics ; 2.3. The three kinds of 2×2 games ; 2.4. Dilemmas played by viruses and eBay sellers ; 2.5. Nonlinear frequency dependence ; 2.6. RPS and the simplex 2.7. Replicator dynamics for RPS 2.8. Discussion ; Appendix: Payoff differences in 3×3 games ; Exercises ; Notes ; Bibliography ; 3. Dynamics in n-Dimensional Games ; 3.1. Sectoring the 2-d simplex ; 3.2. Estimating 3×3 payoffmatrices ; 3.3. More strategies 3.4. Nonlinear frequency dependence 3.5. Two-population games: The square ; 3.6. Hawk-Dove with two populations ; 3.7. Own-population effects ; 3.8. Higher-dimensional games ; 3.9. Alternative dynamics ; 3.10. Discussion ; Appendix: Estimating 3×3 payoffmatrices ; Exercises.
Includes bibliographical references and index.
New York, NY : Oxford University Press, [2016]