A model of Boolean agents competing in a market is presented where each agent bases his action on information obtained from a small group of other agents. The agents play a competitive game that rewards those in the minority. After a long time interval, the poorest player's strategy is changed randomly, and the process is repeated. Eventually the network evolves to a stationary but intermittent state where random mutation of the worst strategy can change the behavior of the entire network, often causing a switch in the dynamics between attractors of vastly different lengths.
%0 Journal Article
%1 Paczuski2000
%A Paczuski, Maya
%A Bassler, Kevin E.
%A Corral, Álvaro
%D 2000
%I American Physical Society
%J Phys. Rev. Lett.
%K self-assembly networks game-theory coevolution adaptive-networks graphs
%N 14
%P 3185
%R 10.1103/PhysRevLett.84.3185
%T Self-Organized Networks of Competing Boolean Agents
%V 84
%X A model of Boolean agents competing in a market is presented where each agent bases his action on information obtained from a small group of other agents. The agents play a competitive game that rewards those in the minority. After a long time interval, the poorest player's strategy is changed randomly, and the process is repeated. Eventually the network evolves to a stationary but intermittent state where random mutation of the worst strategy can change the behavior of the entire network, often causing a switch in the dynamics between attractors of vastly different lengths.
@article{Paczuski2000,
abstract = {A model of Boolean agents competing in a market is presented where each agent bases his action on information obtained from a small group of other agents. The agents play a competitive game that rewards those in the minority. After a long time interval, the poorest player's strategy is changed randomly, and the process is repeated. Eventually the network evolves to a stationary but intermittent state where random mutation of the worst strategy can change the behavior of the entire network, often causing a switch in the dynamics between attractors of vastly different lengths.},
added-at = {2010-05-11T10:26:36.000+0200},
author = {Paczuski, Maya and Bassler, Kevin E. and Corral, Álvaro},
biburl = {https://www.bibsonomy.org/bibtex/2522b6c79f3b51a1ef7703e8b87808b89/rincedd},
doi = {10.1103/PhysRevLett.84.3185},
file = {Paczuski2000 - Self-Organized Networks of Competing Boolean Agents.pdf:Evolutionary Game Theory/Paczuski2000 - Self-Organized Networks of Competing Boolean Agents.pdf:PDF},
interhash = {228c645c045490725541ddbe73bb8e6c},
intrahash = {522b6c79f3b51a1ef7703e8b87808b89},
journal = {Phys. Rev. Lett.},
keywords = {self-assembly networks game-theory coevolution adaptive-networks graphs},
number = 14,
pages = 3185,
publisher = {American Physical Society},
timestamp = {2010-05-11T10:26:36.000+0200},
title = {Self-Organized Networks of Competing Boolean Agents},
volume = 84,
year = 2000
}