Agent-Based Models and Human Subject Experiments
John Duffy ()
Computational Economics from University Library of Munich, Germany
This paper considers the relationship between agent-based modeling and economic decision-making experiments with human subjects. Both approaches exploit controlled ``laboratory'' conditions as a means of isolating the sources of aggregate phenomena. Research findings from laboratory studies of human subject behavior have inspired studies using artificial agents in ``computational laboratories'' and vice versa. In certain cases, both methods have been used to examine the same phenomenon. The focus of this paper is on the empirical validity of agent-based modeling approaches in terms of explaining data from human subject experiments. We also point out synergies between the two methodologies that have been exploited as well as promising new possibilities.
Keywords: agent-based models; human subject experiments; zero- intelligence agents; learning; evolutionary algorithms (search for similar items in EconPapers)
JEL-codes: C8 C9 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-cbe, nep-cmp, nep-exp, nep-gth and nep-hpe
Note: Type of Document - pdf; pages: 52. Survey of agent-based models and human subject experiments
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Chapter: Agent-Based Models and Human Subject Experiments (2006)
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Persistent link: https://EconPapers.repec.org/RePEc:wpa:wuwpco:0412001
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