Work

Evolutionary dynamics with random payoff matrices

Year: 2024

Type: article

Abstract: Uncertainty, characterised by randomness and stochasticity, is ubiquitous in applications of evolutionary game theory across various fields, including biology, economics and social sciences. The uncertainty may arise from various sources such as fluctuating environments, behavioural errors or incomplete information. Incorporating uncertainty into evolutionary models is essential for enhancing their relevance to real-world problems. In this perspective article, we survey the relevant literature on evolutionary dynamics with random payoff matrices, with an emphasis on continuous models. We also pose challenging open problems for future research in this important area.

Source: Europhysics Letters (EPL)

DOI: 10.1209/0295-5075/ada0d8

Authors: Manh Hong Duong, The Anh Han

Institutions: University of Birmingham, Teesside University

Language: English

Topic: Evolutionary Game Theory and Cooperation

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

Open Access status: hybrid

Estimated APC paid: $1,805

Funders: Future of Life Institute, Royal Society, Engineering and Physical Sciences Research Council