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Temporal Effects of Agent Aggregation in the Dynamics of Multiagent Systems

C. H. Yeung·K. Y. Michael Wong
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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.

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C. H. Yeung, K. Y. Michael Wong. 2006-06-21. Temporal Effects of Agent Aggregation in the Dynamics of Multiagent Systems. https://doi.org/10.1209/epl%2Fi2006-10132-7

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