Emergence of grouping in multi-resource minority game dynamics
Zi-Gang Huang, Ji-Qiang Zhang, Jia-Qi Dong, Liang Huang, Ying-Cheng, Lai

TL;DR
This paper investigates how agents in a multi-resource minority game spontaneously form strategy groups, revealing self-organized division states through a mean-field analytic approach and real-world stock market example.
Contribution
It introduces a new multi-resource minority game model with a minority-preference parameter and analytically explains the emergence of strategy-grouping states.
Findings
Strategy-grouping states emerge in the model.
Bifurcation analysis explains the transition to grouping.
Real stock market data shows similar grouping phenomena.
Abstract
TheMinority Game (MG) has become a paradigm to probe complex social and economical phenomena where adaptive agents compete for a limited resource, and it finds applications in statistical and nonlinear physics as well. In the traditional MG model, agents are assumed to have access to global information about the past history of the underlying system, and they react by choosing one of the two available options associated with a single resource. Complex systems arising in a modern society, however, can possess many resources so that the number of available strategies/resources can be multiple. We propose a class of models to investigate MG dynamics with multiple strategies. In particular, in such a system, at any time an agent can either choose a minority strategy (say with probability p) based on available local information or simply choose a strategy randomly (with probability 1 - p).…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComplex Systems and Time Series Analysis · Opinion Dynamics and Social Influence · Evolutionary Game Theory and Cooperation
