Human behavior and social network simulation: fuzzy sets/logic and agents-based approach

ABSTRACT

In our days, human behavior models (HBMs) and social networks analysis are used in increasingly complex domains such as military or manufacturing system. In this context, we report in this paper a framework to model and simulate the behavior of an individual as well as of a group of individuals. The model proposed in this article is composed in two phases; the first models the human behavior by representing the links that can exist between psychological and behavioral elements such as stress, motivation or fatigue. In the second phase, sociological aspects will be integrated in the model to facilitate the study of relationships between humans (Social networks analysis). Fuzzy sets and fuzzy inference system will be used to describe the behavior and it is important to note that this framework can be used in an agent-based approach in which agents will represent humans.

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INDEX TERMS

Keywords:
HBM, fuzzy inference system, human behavior simulation, multi-agent, social networks