MULTI-AGENT MULTI-LEVEL MODELING - A METHODOLOGY TO SIMULATE COMPLEX SYSTEMS

被引：0

作者：

Soyez, Jean-Baptiste ^{[1
,2
,4
]}

Morvan, Gildas ^{[1
,3
]}

Merzouki, Rochdi ^{[1
,2
]}

Dupont, Daniel ^{[1
,4
]}

机构：

[1] Univ Lille Nord France, F-59044 Lille, France

[2] Ecole Polytech Lille, LAGIS UMR CNRS 8146, F-59655 Villeneuve Dascq, France

[3] Univ Artois Technoparc Futura, LGI2A, F-62400 Bethune, France

[4] HEI Hautes Etud Ingn, F-59046 Lille, France

来源：

23RD EUROPEAN MODELING & SIMULATION SYMPOSIUM, EMSS 2011 | 2011年

关键词：

multi-agent modeling; multi-level modeling; simulation; influence/reaction model;

D O I：

暂无

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

This article deals with the conception, modeling and simulation of complex systems, represented at different levels of analysis with respect to the agent-based modeling (ABM) paradigm and more precisely on the generic meta-model IRM4MLS. A methodology, using IRM4MLS, is proposed to save computational resources in multi-level agent-based simulations, representing only the relevant elements. It means that the structure of agents can be modified during simulation, by temporarily aggregating, removing or approximating their characteristics to maximize their life-cycles.

引用

页码：241 / 246

页数：6

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