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• W68875980 abstract "This chapter addresses the question how the different methods presented in the preceding chapters, such as simulation, complexity, game theory, and evolutionary game theory relate together. Formal definitions of complexity and emergence are introduced alongside with a short overview over the history of these concepts. A number of related terms including dynamic systems, fixed points, attractors, repellers, ergodicity, limit cycles, fractals, scale-free distributions, deterministic chaos, and bifurcations are also formally defined. The introduction to dynamic systems as given in Chapter 10 is extended to systems of differential equations and nonlinear dynamic systems, an understanding of which is required before approaching a number of the concepts addressed in the chapter. Further, a number of illustrative economic examples including replicator dynamic competition models, gambler’s ruin processes, and the Marx–Keynes–Goodwin growth cycle model are presented. The chapter also addresses the question of the modeling of complex systems." @default.
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• W68875980 date "2015-01-01" @default.
• W68875980 modified "2023-09-26" @default.
• W68875980 title "Dynamics, Complexity, Evolution, and Emergence—The Roles of Game Theory and Simulation Methods" @default.
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• W68875980 doi "https://doi.org/10.1016/b978-0-12-411585-9.00011-7" @default.
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