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Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
Published on: July 4, 2007
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.
Abstract:
We show, both analytically and numerically, that erroneous data transmission generates a global transition within a competitive population playing the "Minority Game" on a network. This transition, which resembles a phase transition, is driven by a "temporal symmetry breaking" in the global outcome series. The phase boundary, which is a function of the network connectivity p and the error probability q, is described quantitatively by the crowd-anticrowd theory.
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