Abstract
Agent-based modeling (ABM) is an increasingly popular technique for modeling organizations or societies. In this paper, a new approach for modeling decision-making for the environmental decisions of agents in an organization modeled using ABM is devised. The decision-making model has been constructed using data obtained by responses of individuals of the organizations to a questionnaire. As the number of responses is small, while the number of variables measured is relatively high, and obtained decision rules should be explicit, decision trees were selected to generate the model after applying different techniques to properly preprocess the data set. The results obtained for an academic organization are presented.
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