The Behavioral Economics of Artificial Intelligence: Lessons from Experiments with Computer Players

Christoph March

No 7926, CESifo Working Paper Series from CESifo

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.

Keywords: experiment; robots; computer players; survey (search for similar items in EconPapers)
JEL-codes: C90 C92 O33 (search for similar items in EconPapers)
Date: 2019
New Economics Papers: this item is included in nep-big, nep-cbe, nep-cmp, nep-exp, nep-gth, nep-ore, nep-pay and nep-pke
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (14)

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Working Paper: The behavioral economics of artificial intelligence: Lessons from experiments with computer players (2019)
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