A decision-making model for environmental behavior in agent-based modeling

Authors:
Noelia Sánchez-Maroño;Amparo Alonso-Betanzos;Óscar Fontenla-Romero;Miguel Rodríguez-García;Gary Polhill;Tony Craig
Affiliations:
Department of Computer Science, University of A Coruña, A Coruña, Spain;Department of Computer Science, University of A Coruña, A Coruña, Spain;Department of Computer Science, University of A Coruña, A Coruña, Spain;Department of Computer Science, University of A Coruña, A Coruña, Spain;The James Hutton Institute, Aberdeen, United Kingdom;The James Hutton Institute, Aberdeen, United Kingdom
Venue:
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advances in computational intelligence - Volume Part I
Year:
2013

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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.