Comparing agent-based models on experimental data of irrigation games

Jacopo A. Baggio, Marcus Janssen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Scopus citations

Abstract

Agent based models are very useful tools for exploring and building theories on human behavior; however, only recently have there been a few attempts to empirically ground them. We present different models relating to theories of human behavior and compare them to actual data collected during experiments on irrigation games with 80 individuals divided in 16 different groups. We run a total of 7 different models: from very simple ones involving 0 parameters (i.e., pure random, pure selfish and pure altruistic), to increasingly complex ones that include different type of agents, learning and other-regarding preferences. By comparing the different models we find that the most comprehensive model of human behavior behaves not far from an ad hoc model built on our dataset; remarkably we also find that a very simple model presenting a mix of random selfish and altruistic agents performs only slightly below the best performing models.

Original languageEnglish (US)
Title of host publicationProceedings of the 2013 Winter Simulation Conference - Simulation
Subtitle of host publicationMaking Decisions in a Complex World, WSC 2013
Pages1742-1753
Number of pages12
DOIs
StatePublished - 2013
Event2013 43rd Winter Simulation Conference - Simulation: Making Decisions in a Complex World, WSC 2013 - Washington, DC, United States
Duration: Dec 8 2013Dec 11 2013

Publication series

NameProceedings of the 2013 Winter Simulation Conference - Simulation: Making Decisions in a Complex World, WSC 2013

Other

Other2013 43rd Winter Simulation Conference - Simulation: Making Decisions in a Complex World, WSC 2013
CountryUnited States
CityWashington, DC
Period12/8/1312/11/13

ASJC Scopus subject areas

  • Modeling and Simulation

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  • Cite this

    Baggio, J. A., & Janssen, M. (2013). Comparing agent-based models on experimental data of irrigation games. In Proceedings of the 2013 Winter Simulation Conference - Simulation: Making Decisions in a Complex World, WSC 2013 (pp. 1742-1753). [6721555] (Proceedings of the 2013 Winter Simulation Conference - Simulation: Making Decisions in a Complex World, WSC 2013). https://doi.org/10.1109/WSC.2013.6721555