This paper illustrates a formal method to support crowd profiling phase into the development of Multi Agent Systems model. After a discussion about crowd reasearch context, a methodological tool for crowd classification based on a sociological theory is proposed. The tool uses an ontology based on fuzzy logic and allows the analysis of different crowded scenarios according to crowd features (e.g. density, duration, and so on). In particular it is illustrated the use of this method in relation to concert scenarios. Finally, an interpretation of this scenario, according to agent theory, is given
Manenti, L., Magnolo, E., Sartori, F., Manzoni, S. (2009). Towards a MAS model for crowd simulation at pop-rock concerts exploiting ontologies and fuzzy logic. In 10th Workshop on Objects and Agents, WOA 2009; Parma; Italy; 9-10 July 2009 (pp.1-7).
Towards a MAS model for crowd simulation at pop-rock concerts exploiting ontologies and fuzzy logic
Sartori, F;Manzoni, SL
2009
Abstract
This paper illustrates a formal method to support crowd profiling phase into the development of Multi Agent Systems model. After a discussion about crowd reasearch context, a methodological tool for crowd classification based on a sociological theory is proposed. The tool uses an ontology based on fuzzy logic and allows the analysis of different crowded scenarios according to crowd features (e.g. density, duration, and so on). In particular it is illustrated the use of this method in relation to concert scenarios. Finally, an interpretation of this scenario, according to agent theory, is given
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