title: Error-driven global transition in a competitive population on a network.
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.
authors.affiliation: Clarendon Laboratory, Physics Department, Oxford University, Oxford OX1 3PU, United Kingdom.
authors.forename: Sehyo Charley
authors.initials: SC
authors.lastname: Choe
authors.forename: Neil F
authors.initials: NF
authors.lastname: Johnson
authors.forename: Pak Ming
authors.initials: PM
authors.lastname: Hui
mesh_terms: D000222:Adaptation, Physiological / Q000502:physiology; D005075:Biological Evolution; D003163:Competitive Behavior; D003198:Computer Simulation; D017753:Ecosystem; D005246:Feedback; D008954:Models, Biological; D015233:Models, Statistical; D011157:Population Dynamics