TITLE

Modelling and simulation of complex systems: an approach based on multi-level agents

AUTHOR(S)
Fougères, Alain-Jérôme
PUB. DATE
November 2011
SOURCE
International Journal of Computer Science Issues (IJCSI);Nov2011, Vol. 8 Issue 6, p8
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
A complex system is made up of many components with many interactions. So the design of systems such as simulation systems, cooperative systems or assistance systems includes a very accurate modelling of interactional and communicational levels. The agent-based approach provides an adapted abstraction level for this problem. After having studied the organizational context and communicative capacities of agent-based systems, to simulate the reorganization of a flexible manufacturing, to regulate an urban transport system, and to simulate an epidemic detection system, our thoughts on the interactional level were inspired by human-machine interface models, especially those in "cognitive engineering". To provide a general framework for agent-based complex systems modelling, we then proposed a scale of four behaviours that agents may adopt in their complex systems (reactive, routine, cognitive, and collective). To complete the description of multi-level agent models, which is the focus of this paper, we illustrate our modelling and discuss our ongoing work on each level.
ACCESSION #
73204335

 

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