Agent-Based Modeling of Systems of Systems

2026-09-23

AI Summary

本文使用基于代理的建模方法来解决系统之系统的复杂性表示和控制问题，采用Agent-Group-Role模型处理组织方面，IRM4MLS元模型处理多层次方面。

Abstract

This paper deals with the generic modeling of systems of systems (SoSs) using agent-based modeling. SoSs are large-scale systems, including numerous-possibly heterogeneous-interacting component systems evolving in a dynamic environment. The aim of this paper is to provide generic formalism allowing to represent and control the whole complexity of a SoS using agent-based simulations. In particular, organizational aspects of SoSs are managed with the Agent-Group-Role model. Functional aspects, guiding SoSs to accomplish their global goals, are handled via a functional specification. Multilevel aspects are modeled with the Influence Reaction Model for Multilevel Simulation (IRM4MLS) agent-based meta-model. Models generated using this formalism encompass static and dynamic aspects of SoSs. They consider reorganization of SoSs caused by changes of goals or subsystem capacity. All these elements are illustrated in this paper using a SoS case study of Intelligent Autonomous Vehicles initiated by the Intelligent Transportation for Dynamic Environment (InTraDE) European project to automate the port container logistic.

Problem

• Agent-Based Modeling
• Systems of Systems
• Complexity

Innovation

• agent-based modeling
• systems of systems
• Agent-Group-Role model
• functional specification
• IRM4MLS