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 language | English (US) |
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Pages (from-to) | 508-523 |
Number of pages | 16 |
Journal | Adaptive Behavior |
Volume | 17 |
Issue number | 6 |
DOIs | |
State | Published - 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