Abstract:We study a spatial evolutionary rock-paper-scissors game with synchronized strategy updating. Players gain their payoff from games with their four neighbors on a square lattice and can update their strategies simultaneously according to the logit rule, which is the noisy version of the best-response dynamics. For the synchronized strategy update two types of global oscillations (with an ordered strategy arrangement and periods of three and six generations) can occur in this system in the zero noise limit. At l… Show more
“…The analysis of the competition between strategy associations is generally based on models with random sequential imitation type evolutionary rule that may even be applied simultaneously for several systems [348] when the models become similar to stochastic cellular automata [349,350]. The spatial rock-paper-scissor game with a synchronized stochastic logit update [351] has demonstrated the appearance of chimera states which have been intensively studied in the literature of coupled spatial oscillators [352,353,354,355,356]. For the repeated two-player rock-paper-scissors game the synchronized logit rule at low noises results in cyclic choices [e.g.…”
Section: Effects Of Rock-paper-scissors Gamementioning
Game theory provides a general mathematical background to study the effect of pair interactions and evolutionary rules on the macroscopic behavior of multi-player games where players with a finite number of strategies may represent a wide scale of biological objects, human individuals, or even their associations. In these systems the interactions are characterized by matrices that can be decomposed into elementary matrices (games) and classified into four types. The concept of decomposition helps the identification of potential games and also the evaluation of the potential that plays a crucial role in the determination of the preferred Nash equilibrium, and defines the Boltzmann distribution towards which these systems evolve for suitable types of dynamical rules. This survey draws parallel between the potential games and the kinetic Ising type models which are investigated for a wide scale of connectivity structures. We discuss briefly the applicability of the tools and concepts of statistical physics and thermodynamics. Additionally the general features of ordering phenomena, phase transitions and slow relaxations are outlined and applied to evolutionary games. The discussion extends to games with three or more strategies. Finally we discuss what happens when the system is weakly driven out of the "equilibrium state" by adding non-potential components representing games of cyclic dominance.
“…The analysis of the competition between strategy associations is generally based on models with random sequential imitation type evolutionary rule that may even be applied simultaneously for several systems [348] when the models become similar to stochastic cellular automata [349,350]. The spatial rock-paper-scissor game with a synchronized stochastic logit update [351] has demonstrated the appearance of chimera states which have been intensively studied in the literature of coupled spatial oscillators [352,353,354,355,356]. For the repeated two-player rock-paper-scissors game the synchronized logit rule at low noises results in cyclic choices [e.g.…”
Section: Effects Of Rock-paper-scissors Gamementioning
Game theory provides a general mathematical background to study the effect of pair interactions and evolutionary rules on the macroscopic behavior of multi-player games where players with a finite number of strategies may represent a wide scale of biological objects, human individuals, or even their associations. In these systems the interactions are characterized by matrices that can be decomposed into elementary matrices (games) and classified into four types. The concept of decomposition helps the identification of potential games and also the evaluation of the potential that plays a crucial role in the determination of the preferred Nash equilibrium, and defines the Boltzmann distribution towards which these systems evolve for suitable types of dynamical rules. This survey draws parallel between the potential games and the kinetic Ising type models which are investigated for a wide scale of connectivity structures. We discuss briefly the applicability of the tools and concepts of statistical physics and thermodynamics. Additionally the general features of ordering phenomena, phase transitions and slow relaxations are outlined and applied to evolutionary games. The discussion extends to games with three or more strategies. Finally we discuss what happens when the system is weakly driven out of the "equilibrium state" by adding non-potential components representing games of cyclic dominance.
“…Realistic ecologies, however, are endowed with complex interaction networks that can not be captured fully by only considering symmetric networks. As such it is important to develop theoretical approaches that allow to understand the dynamics of general networks (Szabó et al, 2007b;Lütz et al, 2013;Provata et al, 1999;Vandermeer and Yitbarek, 2012;Knebel et al, 2013;Dobrinevski et al, 2014;Rulquin and Arenzon, 2014;Varga et al, 2014;Szabó et al, 2015;Daly et al, 2015;Szolnoki and Perc, 2015) and their effects on biodiversity, correlations, and spatio-temporal patterns.…”
Predicting the fate of ecologies is a daunting, albeit extremely important, task. As part of this task one needs to develop an understanding of the organization, hierarchies, and correlations among the species forming the ecology. Focusing on complex food networks we present a theoretical method that allows to achieve this understanding. Starting from the adjacency matrix the method derives specific matrices that encode the various inter-species relationships. The full potential of the method is achieved in a spatial setting where one obtains detailed predictions for the emerging space-time patterns. For a variety of cases these theoretical predictions are verified through numerical simulations.
“…Needless to say, such a brief review cannot be complete and is unable to give account for all possible directions, like the consequences of mutant species [61,62], environmental randomness [63,64], the role of myopic strategy update [65], or the case of metapopulation models [66][67][68][69]. Hence, we refer the interested reader to the original works for further details.…”
Lotka's seminal work (Lotka A. J., Proc. Natl. Acad. Sci. U.S. A., 6 (1920) 410) "on certain rhythmic relations" is already one hundred years old, but the research activity about pattern formations due to cyclical dominance is more vibrant than ever. It is because non-transitive interactions have paramount role on maintaining biodiversity and adequate human intervention into ecological systems requires deeper understanding of related dynamical processes. In this perspective article we overview different aspects of biodiversity, with focus on how it can be maintained based on mathematical modeling of last years. We also briefly discuss the potential links to evolutionary game models of social systems, and finally, give an overview about potential prospects for future research.
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