Analysis of Parameter Space, Bifurcation and Symbolic Dynamics of Evolutionary Strategies on a One-Dimensional Regular Lattice

The payoff matrix parameters, bifurcation, topological conjugacy and symbolic dynamics of the evolutionary game dynamical systems on a one-dimensional regular lattice are thoroughly investigated in this paper. Based on the properties of addition and scalar multiplication invariance, an effective dimensionality reduction method is proposed to classify the payoff matrix parameters, resulting in 27 evolutionary game dynamical systems. Furthermore, their qualitative dynamics is presented and 14 topological conjugacy classes are obtained through two homeomorphisms, revealing the parametric bifurcation in the payoff matrix. Subsequently, their symbolic dynamics is examined in the context of the snowdrift game, and chaotic characteristics such as nonzero topological entropy and mixing property are derived. These analytical results indicate that even simple interactive elements have diverse dynamical expressiveness to capture the complexity or simplicity of spatial evolutionary games. Therefore, it is recommended that numerical simulations with different parameters should focus on parameter selection, dynamical properties and their combined effects to understand the factors affecting the evolutionary behaviors.

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Publication Details

Journal
International Journal of Bifurcation and Chaos
Published
2025-04-25
DOI
https://doi.org/10.1142/s0218127425500865
Citations
21
Primary Topic
Evolutionary Game Theory and Cooperation
Type
article
Field-Weighted Citation Impact
88.23

Funders

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article

Analysis of Parameter Space, Bifurcation and Symbolic Dynamics of Evolutionary Strategies on a One-Dimensional Regular Lattice

Andrew Adamatzky, W. Jin
21 citations
International Journal of Bifurcation and Chaos
Evolutionary Game Theory and Cooperation
88.23
article

Analysis of Parameter Space, Bifurcation and Symbolic Dynamics of Evolutionary Strategies on a One-Dimensional Regular Lattice

Andrew Adamatzky, W. Jin
article en
21 citations

Abstract

The payoff matrix parameters, bifurcation, topological conjugacy and symbolic dynamics of the evolutionary game dynamical systems on a one-dimensional regular lattice are thoroughly investigated in this paper. Based on the properties of addition and scalar multiplication invariance, an effective dimensionality reduction method is proposed to classify the payoff matrix parameters, resulting in 27 evolutionary game dynamical systems. Furthermore, their qualitative dynamics is presented and 14 topological conjugacy classes are obtained through two homeomorphisms, revealing the parametric bifurcation in the payoff matrix. Subsequently, their symbolic dynamics is examined in the context of the snowdrift game, and chaotic characteristics such as nonzero topological entropy and mixing property are derived. These analytical results indicate that even simple interactive elements have diverse dynamical expressiveness to capture the complexity or simplicity of spatial evolutionary games. Therefore, it is recommended that numerical simulations with different parameters should focus on parameter selection, dynamical properties and their combined effects to understand the factors affecting the evolutionary behaviors.

International Journal of Bifurcation and ChaosVol. 35(07)
Zhejiang Chinese Medical University (CN), University of the West of England (GB)
Natural Science Foundation of Hubei Province, China Scholarship Council
Openalex Percentile: Top 0%
Evolutionary Game Theory and Cooperation
88.23
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