Article
Version 1
Preserved in Portico This version is not peer-reviewed
Non-Markov Stateful Evolutionary Games
Version 1
: Received: 31 March 2017 / Approved: 31 March 2017 / Online: 31 March 2017 (11:29:09 CEST)
Version 2 : Received: 18 May 2017 / Approved: 18 May 2017 / Online: 18 May 2017 (03:34:39 CEST)
Version 3 : Received: 22 June 2021 / Approved: 24 June 2021 / Online: 24 June 2021 (08:38:13 CEST)
Version 2 : Received: 18 May 2017 / Approved: 18 May 2017 / Online: 18 May 2017 (03:34:39 CEST)
Version 3 : Received: 22 June 2021 / Approved: 24 June 2021 / Online: 24 June 2021 (08:38:13 CEST)
How to cite: Burgess, M. Non-Markov Stateful Evolutionary Games. Preprints.org 2017, 2017030234. https://doi.org/10.20944/preprints201703.0234.v1. Burgess, M. Non-Markov Stateful Evolutionary Games. Preprints.org 2017, 2017030234. https://doi.org/10.20944/preprints201703.0234.v1.
Abstract
A new evolutionary game is introduced which incorporates states and actions into the strategies of the organisms of the evolving populations. The game centrally features actions that result in demographic flow between states that may not conserve organism numbers. It is by this feature that the game encapsulate a range of other evolutionary games, and can encode almost very complex interactions between organisms, species and populations. 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 evaluated and compared with other evolutionary games.
Keywords
evolutionary stable strategies (ESS); markov decision evolutionary games (MDEG); Hawk-Dove game; evolutionary dynamics; evolutionary game theory
Subject
Computer Science and Mathematics, Applied Mathematics
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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