A space aware agent-based modeling process for the study of hierarchical complex systems

Autor: Ivan Lavallée, Christophe Lecerf, Thi Minh Luan Nguyen
Rok vydání: 2006
Předmět:
Zdroj: SAC
DOI: 10.1145/1141277.1141305
Popis: Complex systems are composed of many heterogeneous elements organized in a hierarchical way, whose mutual interactions make emergent collective behaviors to appear at the highest levels of observation. In biology, as shown by the integrative physiology theory [2], space and geometry have a significant role in the simulation results. In this paper we expose a process, and its set of formalisms, for modeling and simulation of complex system, going from structural modeling to dynamic simulation while integrating geometrical information in behavior study. Our solution relies on three kind of concepts and techniques: hierarchical graphs for modeling the system structure and organization, Zeigler's formalisms for the specification of components [6] and a space aware Multi Agent System for agent-based simulation.
Databáze: OpenAIRE