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The behavioral economics of artificial intelligence: Lessons from experiments with computer players

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  • March, Christoph

Abstract

Artificial intelligence (AI) is starting to pervade the economic and social life rendering strategic interactions with artificial agents more and more common. At the same time, experimental economic research has increasingly employed computer players to advance our understanding of strategic interaction in general. What can this strand of research teach us about an AI-shaped future? I review 90 experimental studies using computer players. I find that, in a nutshell, humans act more selfishly and more rational in the presence of computer players, and they are often able to exploit these players. Still, many open questions prevail.

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  • March, Christoph, 2019. "The behavioral economics of artificial intelligence: Lessons from experiments with computer players," BERG Working Paper Series 154, Bamberg University, Bamberg Economic Research Group.
    • Handle: RePEc:zbw:bamber:154
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    6. Olena LIASHENKO & Tetyana KRAVETS & Matvii PROKOPENKO, 2021. "Consumer behavior clustering of food retail chains by machine learning algorithms," Access Journal, Access Press Publishing House, vol. 2(3), pages 234-251, September.
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    8. Mario A. Maggioni & Domenico Rossignoli, 2021. "If it Looks like a Human and Speaks like a Human..," DISEIS - Quaderni del Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo dis2101, Università Cattolica del Sacro Cuore, Dipartimento di Economia internazionale, delle istituzioni e dello sviluppo (DISEIS).
    9. Chugunova, Marina & Sele, Daniela, 2022. "We and It: An interdisciplinary review of the experimental evidence on how humans interact with machines," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 99(C).
    10. Mario A. Maggioni & Domenico Rossignoli, 2021. "If it Looks like a Human and Speaks like a Human ... Dialogue and cooperation in human-robot interactions," Papers 2104.11652, arXiv.org, revised May 2021.
    11. Schmitt, Sefanie Y. & Bruckner, Dominik, 2022. "Unaware consumers and disclosure of deficiencies," BERG Working Paper Series 178, Bamberg University, Bamberg Economic Research Group.
    12. Mundt, Philipp & Cantner, Uwe & Inoue, Hiroyasu & Savin, Ivan & Vannuccini, Simone, 2021. "Market selection in global value chains," BERG Working Paper Series 170, Bamberg University, Bamberg Economic Research Group.
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    Keywords

    Experiment; Robots; Computer players; Survey;
    All these keywords.

    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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