The verification method of MASOES applied to the social force model for pedestrian dynamics

Authors:
Niriaska Perozo;Jose Aguilar;Oswaldo Terán
Affiliations:
Unidad de Inteligencia Artificial, Decanato de Ciencias y Tecnología, Universidad Centroccidental "Lisandro Alvarado", Barquisimeto, Venezuela;CEMISID, Facultad de Ingeniería, Universidad de los Andes, Mérida, Venezuela;CEMISID, Facultad de Ingeniería, Universidad de los Andes, Mérida, Venezuela
Venue:
CIMMACS '10 Proceedings of the 9th WSEAS international conference on computational intelligence, man-machine systems and cybernetics
Year:
2010

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Abstract

MASOES is a multiagent architecture for designing and modeling self-organizing and emergent systems. The architecture describes the elements, relationships and mechanisms, both at the individual and the collective levels, which determine the self-organizing and emergent phenomena, without mathematically modeling the system. In this work is tested a method of verification for MASOES, in order to determine its quality to describe the self-organizing and emergent behavior of real systems. This method is based on the wisdom of crowd paradigm and fuzzy cognitive maps. The case study is based on social force model for pedestrian dynamics, in order to study its behavior and determine its self-organizing and emergent capacity through MASOES.