Many-Body Theory for Multi-Agent Complex Systems
Neil F. Johnson, David M.D. Smith, Pak Ming Hui

TL;DR
This paper develops a many-body physics-inspired formalism to analyze multi-agent complex systems, revealing that their dynamics are governed by 'Crowd-Anticrowd' quasiparticles, with applications demonstrated on the Minority Game.
Contribution
It introduces a novel many-body theory framework for multi-agent systems, connecting physics concepts with complex system dynamics.
Findings
Analytic expressions match numerical simulations for the Minority Game.
Behavior dominated by 'Crowd-Anticrowd' quasiparticles.
Formal analogy between multi-agent dynamics and many-body physics.
Abstract
Multi-agent complex systems comprising populations of decision-making particles, have wide application across the biological, informational and social sciences. We uncover a formal analogy between these systems' time-averaged dynamics and conventional many-body theory in Physics. Their behavior is dominated by the formation of 'Crowd-Anticrowd' quasiparticles. For the specific example of the Minority Game, our formalism yields analytic expressions which are in excellent agreement with numerical simulations.
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Taxonomy
TopicsOpinion Dynamics and Social Influence · Complex Systems and Time Series Analysis · Complex Network Analysis Techniques
