scholarly journals Mean field asymptotics of Markov Decision Evolutionary Games and teams

Author(s):  
Hamidou Tembine ◽  
Jean-Yves Le Boudec ◽  
Rachid El-Azouzi ◽  
Eitan Altman
Author(s):  
Stefano Almi ◽  
Marco Morandotti ◽  
Francesco Solombrino

AbstractA multi-step Lagrangian scheme at discrete times is proposed for the approximation of a nonlinear continuity equation arising as a mean-field limit of spatially inhomogeneous evolutionary games, describing the evolution of a system of spatially distributed agents with strategies, or labels, whose payoff depends also on the current position of the agents. The scheme is Lagrangian, as it traces the evolution of position and labels along characteristics, and is a multi-step scheme, as it develops on the following two stages: First, the distribution of strategies or labels is updated according to a best performance criterion, and then, this is used by the agents to evolve their position. A general convergence result is provided in the space of probability measures. In the special cases of replicator-type systems and reversible Markov chains, variants of the scheme, where the explicit step in the evolution of the labels is replaced by an implicit one, are also considered and convergence results are provided.


Author(s):  
L. Zanelli ◽  
F. Mandreoli ◽  
F. Cardin

AbstractWe present, through weak KAM theory, an investigation of the stationary Hartree equation in the periodic setting. More in details, we study the Mean Field asymptotics of quantum many body operators thanks to various integral identities providing the energy of the ground state and the minimum value of the Hartree functional. Finally, the ground state of the multiple-well case is studied in the semiclassical asymptotics thanks to the Agmon metric.


2019 ◽  
Vol 1 (2) ◽  
pp. 221-272 ◽  
Author(s):  
Zied Ammari ◽  
Sébastien Breteaux ◽  
Francis Nier

2014 ◽  
Vol 11 (100) ◽  
pp. 20140735 ◽  
Author(s):  
Attila Szolnoki ◽  
Mauro Mobilia ◽  
Luo-Luo Jiang ◽  
Bartosz Szczesny ◽  
Alastair M. Rucklidge ◽  
...  

Rock is wrapped by paper, paper is cut by scissors and scissors are crushed by rock. This simple game is popular among children and adults to decide on trivial disputes that have no obvious winner, but cyclic dominance is also at the heart of predator–prey interactions, the mating strategy of side-blotched lizards, the overgrowth of marine sessile organisms and competition in microbial populations. Cyclical interactions also emerge spontaneously in evolutionary games entailing volunteering, reward, punishment, and in fact are common when the competing strategies are three or more, regardless of the particularities of the game. Here, we review recent advances on the rock–paper–scissors (RPS) and related evolutionary games, focusing, in particular, on pattern formation, the impact of mobility and the spontaneous emergence of cyclic dominance. We also review mean-field and zero-dimensional RPS models and the application of the complex Ginzburg–Landau equation, and we highlight the importance and usefulness of statistical physics for the successful study of large-scale ecological systems. Directions for future research, related, for example, to dynamical effects of coevolutionary rules and invasion reversals owing to multi-point interactions, are also outlined.


2010 ◽  
Vol 55 (7) ◽  
pp. 1560-1569 ◽  
Author(s):  
Eitan Altman ◽  
Yezekael Hayel

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