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Agent-Based Models: Tools

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Book cover Interacting Complexities of Herds and Social Organizations

Part of the book series: Evolutionary Economics and Social Complexity Science ((EESCS,volume 19))

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Abstract

The methodological focus of this book is the object- and agent-based simulation. No state equations or system dynamics schemes are used. Recall that in the discrete object-based modeling, we create objects that behave according to the user-defined rules and execute their events in discrete moments of the model time. The agent-based models manage objects called agents, which are equipped with certain “intelligence.” They can take decisions, optimize their actions, and interact with each other and with the environment. Agent-based models (ABMs) are a type of microscale models that simulate the simultaneous operations and interactions of multiple agents in an attempt to recreate and predict the appearance of global complex phenomena.

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Authors and Affiliations

  1. Facultad de Ingeniería, Universidad Panamericana, Ciudad de México, México

    Stanislaw Raczynski

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  1. Stanislaw Raczynski
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Raczynski, S. (2020). Agent-Based Models: Tools. In: Interacting Complexities of Herds and Social Organizations. Evolutionary Economics and Social Complexity Science, vol 19. Springer, Singapore. https://doi.org/10.1007/978-981-13-9337-2_1

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  • DOI: https://doi.org/10.1007/978-981-13-9337-2_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9336-5

  • Online ISBN: 978-981-13-9337-2

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