A Case Study of Agent-Based Models for Evolutionary Game Theory
Computer Science and Game Theory
2021-09-07 v1 Multiagent Systems
Abstract
Evolutionary game theory is a mathematical toolkit to analyse the interactions that an individual agent has in a population and how the composition of strategies in this population evolves over time. While it can provide neat solutions to simple problems, in more complicated situations where assumptions such as infinite population size may be relaxed, deriving analytic solutions can be intractable. In this short paper, we present a game with complex interactions and examine how an agent-based model may be used as a heuristic technique to find evolutionarily stable states.
Cite
@article{arxiv.2109.01849,
title = {A Case Study of Agent-Based Models for Evolutionary Game Theory},
author = {Jacobus Smit and Ed Plumb},
journal= {arXiv preprint arXiv:2109.01849},
year = {2021}
}
Comments
6 pages, 1 figure, accepted to Conference of Social Simulation 2021