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Article Dans Une Revue Physics Reports Année : 2015

Statistical mechanics of competitive resource allocation using agent-based models

Résumé

Demand outstrips available resources in most situations, which gives rise to competition, interaction and learning. In this article, we review a broad spectrum of multi-agent models of competition and the methods used to understand them analytically. We emphasize the power of concepts and tools from statistical mechanics to understand and explain fully collective phenomena such as phase transitions and long memory, and the mapping between agent heterogeneity and physical disorder. As these methods can be applied to any large-scale model made up of heterogeneous adaptive agent with non-linear interaction, they provide a prospective unifying paradigm for many scientific disciplines.
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hal-00834380 , version 1 (21-04-2020)

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Anirban Chakraborti, Damien Challet, Arnab Chatterjee, Matteo Marsili, Yi-Cheng Zhang, et al.. Statistical mechanics of competitive resource allocation using agent-based models. Physics Reports, 2015, 552, pp.1-25. ⟨10.1016/j.physrep.2014.09.006⟩. ⟨hal-00834380⟩
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