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Related Experiment Videos

Error-driven global transition in a competitive population on a network.

Sehyo Charley Choe1, Neil F Johnson, Pak Ming Hui

  • 1Clarendon Laboratory, Physics Department, Oxford University, Oxford OX1 3PU, United Kingdom.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|December 17, 2004
PubMed
Summary
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Erroneous data transmission causes a global transition in competitive populations playing the Minority Game. This phase transition is driven by temporal symmetry breaking, with the boundary depending on network connectivity and error probability.

Area of Science:

  • Complex systems
  • Statistical physics
  • Network science

Background:

  • The Minority Game is a model of adaptive behavior in competitive environments.
  • Understanding how errors affect collective behavior in networks is crucial.
  • Phase transitions are fundamental phenomena in physics and complex systems.

Purpose of the Study:

  • To investigate the impact of erroneous data transmission on collective behavior in a network setting.
  • To analyze the nature of the global transition induced by data errors.
  • To quantitatively describe the phase boundary of this transition.

Main Methods:

  • Analytical modeling of the Minority Game on a network.
  • Numerical simulations to observe system dynamics.

Related Experiment Videos

  • Application of crowd-anticrowd theory to explain the transition.

    • Main Results:

    • Erroneous data transmission induces a global transition in the Minority Game population.
    • This transition is characterized by temporal symmetry breaking in the global outcome series.
    • The phase boundary is determined by network connectivity (p) and error probability (q).

    Conclusions:

    • Data errors can fundamentally alter the collective dynamics of competitive populations on networks.
    • Temporal symmetry breaking is a key mechanism driving these transitions.
    • Crowd-anticrowd theory provides a quantitative framework for understanding the phase boundary.