Dynamical Mechanisms in Multi-agent Systems: Minority Games

TL;DR

This paper investigates how diversity among agents in large population games influences decision-making dynamics, revealing scaling relations and mechanisms like kinetic sampling and waiting that affect system behavior.

Contribution

It introduces new insights into the role of diversity in multi-agent systems, highlighting how it modifies scaling dynamics and decision variance.

Findings

Diversity reduces maladaptive behavior in large population games.

Scaling relations for decision variance depend on diversity levels.

Kinetic sampling and waiting mechanisms emerge with increased diversity.

Abstract

We consider a version of large population games whose agents compete for resources using strategies with adaptable preferences. Diversity among the agents reduces their maladpative behavior. We find interesting scaling relations with diversity for the variance of decisions. When diversity increases, the scaling dynamics is modified by kinetic sampling and waiting mechanisms.