Crowd effects in competitive, multi-agent populations and networks

Neil F. Johnson, Sehyo C. Choe, Sean Gourley, Timothy Jarrett, Pak Ming Hui

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

We discuss a crowd-based theory for describing the collective dynamical behavior of a population of competitive agents in a model market setting. This Crowd-Anticrowd theory, which incorporates the strong correlations between agents' strategies, provides a quantitative description of the fluctuations in the excess demand of this model.

Original languageEnglish (US)
Title of host publicationNonlinear Dynamics and Heterogeneous Interacting Agents
EditorsThomas Lux, Eleni Samanidou, Stefan Reitz
Pages55-70
Number of pages16
DOIs
StatePublished - Dec 1 2005

Publication series

NameLecture Notes in Economics and Mathematical Systems
Volume550
ISSN (Print)0075-8442

ASJC Scopus subject areas

  • Mathematics (miscellaneous)
  • Economics, Econometrics and Finance (miscellaneous)

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  • Cite this

    Johnson, N. F., Choe, S. C., Gourley, S., Jarrett, T., & Hui, P. M. (2005). Crowd effects in competitive, multi-agent populations and networks. In T. Lux, E. Samanidou, & S. Reitz (Eds.), Nonlinear Dynamics and Heterogeneous Interacting Agents (pp. 55-70). (Lecture Notes in Economics and Mathematical Systems; Vol. 550). https://doi.org/10.1007/3-540-27296-8_5