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Agent-based modeling: methods and techniques for simulating human systems.

Eric Bonabeau1

  • 1Icosystem Corporation, 545 Concord Avenue, Cambridge, MA 02138, USA. eric@icosystem.com

Proceedings of the National Academy of Sciences of the United States of America
|May 16, 2002
PubMed
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Agent-based modeling (ABM) simulates complex systems for business. This study introduces ABM principles and analyzes its applications in flow, organizational, market, and diffusion simulations with real-world examples.

Area of Science:

  • Computational Social Science
  • Business Analytics
  • Simulation Modeling

Background:

  • Agent-based modeling (ABM) is an advanced simulation technique.
  • ABM has gained traction in recent years for business applications.

Purpose of the Study:

  • Introduce the fundamental principles of agent-based simulation.
  • Explore four key areas of ABM application in business contexts.

Main Methods:

  • Brief introduction to core agent-based simulation concepts.
  • Analysis of real-world business case studies across different simulation types.

Main Results:

  • Demonstration of ABM's versatility in flow, organizational, market, and diffusion simulations.

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  • Detailed examination of specific business applications within each category.

    • Conclusions:

    • Agent-based modeling offers a robust framework for analyzing complex business problems.
    • The discussed applications highlight ABM's practical value and adaptability across diverse business scenarios.