Pattern-oriented modeling of commons dilemma experiments

Marcus Janssen, Nicholas P. Radtke, Allen Lee

Research output: Contribution to journalArticle

20 Scopus citations

Abstract

A major challenge in the development of computational models of collective behavior is the empirical validation. Experimental data from a spatially explicit dynamic commons dilemma experiment is used to empirically ground an agent-based model. Three distinct patterns are identified in the data. Two naïve models, random walk and greedy agents, do not produce data that match the patterns. A more comprehensive model is presented that explains how participants make movement and harvest decisions. Using pattern-oriented modeling the parameter space is explored to identify the parameter combinations that meet the three identified patterns. Less than 0.1% of the parameter combinations meet all the patterns. These parameter settings were used to successfully predict the patterns of a new set of experiments.

Original languageEnglish (US)
Pages (from-to)508-523
Number of pages16
JournalAdaptive Behavior
Volume17
Issue number6
DOIs
StatePublished - Dec 1 2009

Keywords

  • Commons dilemma
  • Empirically grounded agent-based modeling
  • Human experiments
  • Individual decision making

ASJC Scopus subject areas

  • Experimental and Cognitive Psychology
  • Behavioral Neuroscience

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