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Human-AI ecosystem with abrupt changes as a function of the composition

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  • Pierluigi Contucci
  • János Kertész
  • Godwin Osabutey

Abstract

The progressive advent of artificial intelligence machines may represent both an opportunity or a threat. In order to have an idea of what is coming we propose a model that simulate a Human-AI ecosystem. In particular we consider systems where agents present biases, peer-to-peer interactions and also three body interactions that are crucial and describe two humans interacting with an artificial agent and two artificial intelligence agents interacting with a human. We focus our analysis by exploring how the relative fraction of artificial intelligence agents affect that ecosystem. We find evidence that for suitable values of the interaction parameters, arbitrarily small changes in such percentage may trigger dramatic changes for the system that can be either in one of the two polarised states or in an undecided state.

Suggested Citation

  • Pierluigi Contucci & János Kertész & Godwin Osabutey, 2022. "Human-AI ecosystem with abrupt changes as a function of the composition," PLOS ONE, Public Library of Science, vol. 17(5), pages 1-12, May.
    • Handle: RePEc:plo:pone00:0267310
    DOI: 10.1371/journal.pone.0267310
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    References listed on IDEAS

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    1. Godwin Osabutey & Alex Akwasi Opoku & Samuel Gyamfi, 2020. "A Statistical Mechanics Approach to the Study of Energy Use Behaviour," Journal of Applied Mathematics, John Wiley & Sons, vol. 2020(1).
    2. Pierluigi Contucci & Stefano Ghirlanda, 2007. "Modeling society with statistical mechanics: an application to cultural contact and immigration," Quality & Quantity: International Journal of Methodology, Springer, vol. 41(4), pages 569-578, August.
    3. Serge Galam, 2008. "Sociophysics: A Review Of Galam Models," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 19(03), pages 409-440.
    4. Godwin Osabutey & Alex Akwasi Opoku & Samuel Gyamfi, 2020. "A Statistical Mechanics Approach to the Study of Energy Use Behaviour," Journal of Applied Mathematics, Hindawi, vol. 2020, pages 1-14, May.
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