Advances in Dynamic and Evolutionary Games: Theory, Applications, and Numerical Methods
Frank Thuijsman, Florian Wagener
Birkhäuser, Apr 7, 2016 - Mathematics - 319 pages
This contributed volume considers recent advances in dynamic games and their applications, based on presentations given at the 16th Symposium of the International Society of Dynamic Games, held July 9-12, 2014, in Amsterdam. Written by experts in their respective disciplines, these papers cover various aspects of dynamic game theory including differential games, evolutionary games, and stochastic games. They discuss theoretical developments, algorithmic methods, issues relating to lack of information, and applications in areas such as biological or economical competition, stability in communication networks, and maintenance decisions in an electricity market, just to name a few.
Advances in Dynamic and Evolutionary Games presents state-of-the-art research in a wide spectrum of areas. As such, it serves as a testament to the vitality and growth of the field of dynamic games and their applications. It will be of interest to an interdisciplinary audience of researchers, practitioners, and advanced graduate students.
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2 Dynamic Admission Game into an MM1 Queue
3 Methodological Issues in Analyzing Market Dynamics
4 Stochastic Games with Signals
5 Nonlinear and Multiplayer Evolutionary Games
6 A ZeroSum Game Between the Network Designer and an Adversary in Consensus Protocols
7 Maximal Stable Bridge in Game with Simple Motions in the Plane
8 LinearQuadratic Gaussian Dynamic Games with a ControlSharing Information Pattern
9 PursuitEvasion Game of Kind Between Hybrid Players
10 A DoubleSided Jamming Game with Resource Constraints
11 Speculative Constraints on Oligopoly
12 Evolutionary Stability of Dimorphic Population States
13 A Game Theoretical Approach to Microbial Coexistence
14 Computing αRobust Equilibria in Two Integrated Assessment Models for Climate Change
15 A Robust Noncooperative Metagame for Climate Negotiation in Europe
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Advances in Dynamic and Evolutionary Games: Theory, Applications, and ...
Frank Thuijsman,Florian Wagener
No preview available - 2016
abatement cost adversary agents algorithm analysis assume Basar compute consensus consider control-sharing information pattern convergence convex cost function decision defined denote differential game discounted value distribution Dynamic Games emissions equations estimate evader evolutionary game theory evolutionary games example finite firms focal cell game theory games with signals given hybrid imputation initial iteration Lemma linear LQGDG Markov Perfect matrix games maximal mixed strategy multiplayer Nash equilibrium nodes obtain optimal control optimal strategies optimality principle Pakes parameters payoff function play player policies polyline population power allocation private information problem pure strategies pursuer pursuit-evasion queue quorum sensing random variable recurrent class replicator dynamics resp robust equilibrium robustification satisfies Sect semipermeable surface Shinar simulations solution speculators spiral stochastic games subgame sufficient statistics Switzerland 2016 F Theorem Thuijsman time-consistent trajectory vector x0 T t0 zero-sum