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Ants, robots, humans: a self-organizing, complex systems modeling approach

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  • Martin Jaraiz

Abstract

Most of the grand challenges of humanity today involve complex agent-based systems, such as epidemiology, economics or ecology. However, remains as a pending task the challenge of identifying the general principles underlying their self-organizing capabilities. This article presents a novel modeling approach, capable to self-deploy both the system structure and the activities for goal-driven agents that can take appropriate actions to achieve their goals. Humans, robots, and animals are all endowed with this type of behavior. Self-organization is shown to emerge from the decisions of a common rational activity algorithm, based on the information of a system-specific goals dependency network. The unique self-deployment feature of this approach, that can also be applied to non-goal-driven agents, can boost considerably the range and depth of application of agent-based modeling.

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  • Martin Jaraiz, 2020. "Ants, robots, humans: a self-organizing, complex systems modeling approach," Papers 2009.10823, arXiv.org, revised Oct 2020.
    • Handle: RePEc:arx:papers:2009.10823
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    File URL: http://arxiv.org/pdf/2009.10823
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    References listed on IDEAS

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    1. Leigh Tesfatsion & Kenneth L. Judd (ed.), 2006. "Handbook of Computational Economics," Handbook of Computational Economics, Elsevier, edition 1, volume 2, number 2.
    2. Tesfatsion, Leigh & Judd, Kenneth L., 2006. "Handbook of Computational Economics, Vol. 2: Agent-Based Computational Economics," Staff General Research Papers Archive 10368, Iowa State University, Department of Economics.
    3. J. Doyne Farmer & Duncan Foley, 2009. "The economy needs agent-based modelling," Nature, Nature, vol. 460(7256), pages 685-686, August.
    4. Tesfatsion, Leigh, 2006. "Agent-Based Computational Economics: A Constructive Approach to Economic Theory," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 16, pages 831-880, Elsevier.
    5. Joshua M. Epstein, 2009. "Modelling to contain pandemics," Nature, Nature, vol. 460(7256), pages 687-687, August.
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    Cited by:

    1. Martin Jaraiz, 2022. "An agent-based modeling approach for real-world economic systems: Example and calibration with a Social Accounting Matrix of Spain," Papers 2208.13254, arXiv.org, revised May 2023.

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