Skip to main content

Agent Based Modeling and Simulation, Introduction to

  • Living reference work entry
  • Latest version View entry history
  • First Online:
Encyclopedia of Complexity and Systems Science
  • 214 Accesses

Agent-based modeling (ABM) is a computational modeling paradigm that is markedly useful in studying complex systems composed of a large number of interacting entities with many degrees of freedom. Other names for ABM are individual-based modeling (IBM) or multi-agent systems (MAS). Physicists often use the term micro-simulation or interaction-based computing.

The basic idea of ABM is to construct the computational counterpart of a conceptual model of a system under study on the basis of discrete entities (agents) with defined properties and behavioral rules and then to simulate them in a computer to mimic the real phenomena.

The definition of agent is somewhat fuzzy as witnessed by the fact that the models found in the literature adopt an extremely heterogeneous rationale. The agent is an autonomous entity having its own internal state reflecting its perception of the environment and interacting with other entities according to more or less sophisticated rules. In practice, the term...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Filippo Castiglione .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Science+Business Media LLC

About this entry

Check for updates. Verify currency and authenticity via CrossMark

Cite this entry

Castiglione, F. (2020). Agent Based Modeling and Simulation, Introduction to. In: Meyers, R. (eds) Encyclopedia of Complexity and Systems Science. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27737-5_13-5

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-27737-5_13-5

  • Received:

  • Accepted:

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27737-5

  • Online ISBN: 978-3-642-27737-5

  • eBook Packages: Springer Reference Physics and AstronomyReference Module Physical and Materials ScienceReference Module Chemistry, Materials and Physics

Publish with us

Policies and ethics

Chapter history

  1. Latest

    Agent Based Modeling and Simulation, Introduction to
    Published:
    28 January 2020

    DOI: https://doi.org/10.1007/978-3-642-27737-5_13-5

  2. Original

    Agent-Based Modeling and Simulation, Introduction to
    Published:
    10 October 2014

    DOI: https://doi.org/10.1007/978-3-642-27737-5_13-4