Theory of networked minority games based on strategy pattern dynamics

T. S. Lo, H. Y. Chan, P. M. Hui, N. F. Johnson

Research output: Contribution to journalArticlepeer-review

24 Scopus citations


We formulate a theory of agent-based models in which agents compete to be in a winning group. The agents may be part of a network or not, and the winning group may be a minority group or not. An important feature of the present formalism is its focus on the dynamical pattern of strategy rankings, and its careful treatment of the strategy ties which arise during the system’s temporal evolution. We apply it to the minority game with connected populations. Expressions for the mean success rate among the agents and for the mean success rate for agents with [Formula presented] neighbors are derived. We also use the theory to estimate the value of connectivity [Formula presented] above which the binary-agent-resource system with high resource levels makes the transition into the high-connectivity state.

Original languageEnglish (US)
Pages (from-to)9
Number of pages1
JournalPhysical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics
Issue number5
StatePublished - 2004
Externally publishedYes

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Statistics and Probability
  • Condensed Matter Physics


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