English

Game Connectivity and Adaptive Dynamics

Theoretical Economics 2025-06-25 v5 Computer Science and Game Theory Combinatorics

Abstract

We analyse the typical structure of games in terms of the connectivity properties of their best-response graphs. Our central result shows that, among games that are `generic' (without indifferences) and that have a pure Nash equilibrium, all but a small fraction are \emph{connected}, meaning that every action profile that is not a pure Nash equilibrium can reach every pure Nash equilibrium via best-response paths. This has important implications for dynamics in games. In particular, we show that there are simple, uncoupled, adaptive dynamics for which period-by-period play converges almost surely to a pure Nash equilibrium in all but a small fraction of generic games that have one (which contrasts with the known fact that there is no such dynamic that leads almost surely to a pure Nash equilibrium in \emph{every} generic game that has one). We build on recent results in probabilistic combinatorics for our characterisation of game connectivity.

Keywords

Cite

@article{arxiv.2309.10609,
  title  = {Game Connectivity and Adaptive Dynamics},
  author = {Tom Johnston and Michael Savery and Alex Scott and Bassel Tarbush},
  journal= {arXiv preprint arXiv:2309.10609},
  year   = {2025}
}

Comments

46 pages

R2 v1 2026-06-28T12:26:06.084Z