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Main Authors: Daneshvar, Mohammad, Delavari, Mandana
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2412.15485
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author Daneshvar, Mohammad
Delavari, Mandana
author_facet Daneshvar, Mohammad
Delavari, Mandana
contents In this paper, we analyze the behavior of a multi-agent system driven by the interactions of agents within a competitive environment. To achieve this, we describe the transition probabilities that underlie the system's stochastic nature. We also derive the Fokker-Planck equations for the density distribution of the number of agents in the system and solve these equations for specific cases.
format Preprint
id arxiv_https___arxiv_org_abs_2412_15485
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle An Agent-based Model for Competitive Agents
Daneshvar, Mohammad
Delavari, Mandana
Multiagent Systems
Probability
93A16 (Primary)
In this paper, we analyze the behavior of a multi-agent system driven by the interactions of agents within a competitive environment. To achieve this, we describe the transition probabilities that underlie the system's stochastic nature. We also derive the Fokker-Planck equations for the density distribution of the number of agents in the system and solve these equations for specific cases.
title An Agent-based Model for Competitive Agents
topic Multiagent Systems
Probability
93A16 (Primary)
url https://arxiv.org/abs/2412.15485