Work

Humans vs. Bots: Investigating Models of Behavior in the Iterated Prisoner's Dilemma

Year: 2020

Type: conference-paper

Abstract: We present an approach to studying human behavior in the Iterated Prisoner's Dilemma (IPD) game, where human participants play against software bots in an online environment. This setting allows precise control of the strategies faced by the human subjects. Our goal is to test models of human behavior and the means by which cooperation can be promoted. Results from our experiments with subjects from Amazon Mechanical Turk show that the leading models of human behavior in the IPD are incomplete, as they can explain our data only partially. We propose a new model of behavior, Majority Wins, which provides a better fit to the data, which we test and demonstrate through a simulation.

Source: Spring Simulation Multiconference

DOI: 10.22360/springsim.2020.hsaa.009

Authors: Samarth Swarup, Mark G. Orr, Gizem Korkmaz, Kiran Lakkaraju

Institutions: University of Virginia, Sandia National Laboratories California, Sandia National Laboratories

Language: English

Topic: Evolutionary Game Theory and Cooperation

Subfield: Sociology and Political Science

Field: Social Sciences

Domain: Social Sciences

Open Access status: bronze