Temporal Effects of Agent Aggregation in the Dynamics of Multiagent Systems
Physics and Society
2009-11-11 v3 Disordered Systems and Neural Networks
Abstract
We propose a model of multiagent systems 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.
Cite
@article{arxiv.physics/0509185,
title = {Temporal Effects of Agent Aggregation in the Dynamics of Multiagent Systems},
author = {C. H. Yeung and K. Y. Michael Wong},
journal= {arXiv preprint arXiv:physics/0509185},
year = {2009}
}
Comments
7 pages, 5 figures