Non-Markov Stateful Evolutionary Games
نویسنده
چکیده
A evolutionary game is introduced which explicitly models states and actions in the strategies of the organisms of the evolving population. The game principally features actions that result in demographic flow between states that may not conserve organism numbers. The game’s formalism is expounded and the nature of the game’s equilibrium is discussed. This discussion leads to an algorithm for numerically determining the stable equilibrium points which is exemplified in the context of a modified Hawk-Dove game. The game’s flexibility for modeling population dynamics is discussed in the context of other evolutionary games. Data Set License: CC-BY
منابع مشابه
A Markov Decision Evolutionary Game for the study of a Dynamic Hawk and Dove Problem
In this paper we study one of the most well known examples of evolutionary games, the Hawk and Dove problem, in the dynamic framework of Markov Decision Evolutionary Games. We associate with each player an extra individual state depending on the age and on the strength of the individual. This state may change as a function of the actions taken by those it encounters. The goal of a player is to ...
متن کاملMarkov decision evolutionary games with time average expected fitness criterion
We present a class of evolutionary games involving large populations that have many pairwise interactions between randomly selected players. The fitness of a player depends not only on the actions chosen in the interaction but also on the individual state of the players. Players stay permanently in the system and participate infinitely often in local interactions with other randomly selected pl...
متن کاملA Markov state modeling approach to characterizing the punctuated equilibrium dynamics of stochastic evolutionary games
Stochastic evolutionary games often share a dynamic property called punctuated equilibrium; this means that their sample paths exhibit long periods of stasis near one population state which are infrequently interrupted by switching events after which the sample paths stay close to a different population state, again for a long period of time. This has been described in the literature as a favor...
متن کاملIntrusion Detection Using Evolutionary Hidden Markov Model
Intrusion detection systems are responsible for diagnosing and detecting any unauthorized use of the system, exploitation or destruction, which is able to prevent cyber-attacks using the network package analysis. one of the major challenges in the use of these tools is lack of educational patterns of attacks on the part of the engine analysis; engine failure that caused the complete training, ...
متن کاملMarkov Decision Evolutionary Games with Expected Average Fitness
Aim: To model and characterize evolutionary games where individuals have states that are described by controlled Markov chains. The action of an individual in a local interaction with another randomly selected individual determines not only the instantaneous fitness but also its probability to move to another state. The goal of a player is to maximize its time average fitness. Mathematical meth...
متن کامل