2016
DHSS 2016 Proceeding
Human behavior modeling: a state of the art
Authors: L. Nicoletti, A. Padovano, F. P. Vartuli, M. Vetrano
Abstract
Over the last years, the study of Human Behavior Modeling was marked by a tremendous growth of interest from academics in several fields of application. Given the abundance of HBM techniques today applicable to model different human aspects, a review of the current state of the art has become essential. This work has as primary goal the investigation of the most common approaches ? agent-based modeling, artificial neural networks, fuzzy logic, genetic algorithms, knowledge-based approaches, Markov chains and so on ? as well as the newly applied techniques. Furthermore, the main advantages and limitations associated with implementing each analyzed methodology have been framed in order to provide some basic sparks in the identification of the most promising approach to model human behavior in different contexts.
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