This article proposes a methodology to model and simulate complex systems, based on IRM4MLS, a generic agent-based meta-model able to deal with multi-level systems. This methodology permits the engineering of dynamic multi-level agent-based models, to represent complex systems over several scales and domains of interest. Its goal is to simulate a phenomenon using dynamically the lightest representation to save computer resources without loss of information. This methodology is based on two mechanisms: (1) the activation or deactivation of agents representing different domain parts of the same phenomenon and (2) the aggregation or disaggregation of agents representing the same phenomenon at different scales. © 2013 Springer-Verlag.
Soyez, J. B., Morvan, G., Dupont, D., & Merzouki, R. (2013). A methodology to engineer and validate dynamic multi-level multi-agent based simulations. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7838 LNAI, pp. 130–142). https://doi.org/10.1007/978-3-642-38859-0_10