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Deriving Multi-Agent System Behavior

초록

영어

The multi-agent systems (MAS) have become a very powerful paradigm in the development of complex computer systems. The modeling of these systems can reduce this complexity during the development phases. The Model-Driven Architecture (MDA) approach can be used to resolve this problem. It allows designers to model their systems at different abstraction levels, providing them with automatic model transformations to incrementally refine abstract models into concrete ones. This paper presents a MDA approach to develop multi-agent system with the derivation of the behavior of a given system agent from its global requirements. The suggested approach is based on the definition of an appropriate requirements meta-model (Computational Independent Meta-Model CIMM) and the definition of a target design meta-model (Platform Independent Meta-model PIMM). The CIM models are specified using UML activity diagram extended with collaborations to describe the system global behavior. The agent’s behavior model (PIM) is in the form of distributed UML state machines. Automatic model transformations between these two models have been designed in order to govern the derivation process. A real application of telediagnosis in neuroscience has been developed using this approach.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Deriving MAS behavior by CIM to PIM Transformation
  3.1. The Requirements Meta-Model (CIM Meta-Model)
  3.2. The Platform Independent Meta-Model (PIM Meta-Model)
  3.3. The Model to Model Transformation
 4. Transformation Rules
  4.1. Strong Sequencing between Two Collaborations
  4.2. Weak Sequencing between Two Collaborations
  4. 3. Choice between Two Collaborations
  4.4. Example
 5. Case Study
 6. Implementation of the Derivation Process Architecture
 7. Conclusion
 References

저자정보

  • Ahmed Harbouche LME Lab, Hassiba BenBouali University
  • Mohammed Erradi SIME Research Lab, ENSIAS, Mohammed V Souissi University
  • Aicha Mokhtari LRIA Lab, Houari Boumedienne University

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