Temporal effects of agent aggregation in the dynamics of a competing populationC. H. Yeung and K. Y. Michael Wong
Department of Physics, Hong Kong University of Science and Technology Clear Water Bay, Hong Kong, PRC
received 24 January 2006; accepted in final form 13 June 2006
published online 5 July 2006
We propose a model of a competing population whose agents have a tendency to balance their decisions in time. We find phase transitions to oscillatory behavior, explainable by the aggregation of agents into two groups. On a longer time scale, we find that the aggregation of smart agents is able to explain the lifetime distribution of epochs to 8 decades of probability.
02.50.-r - Probability theory, stochastic processes, and statistics.
05.40.-a - Fluctuation phenomena, random processes, noise and Brownian motion.
89.20.-a - Interdisciplinary applications of physics.
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