Observed-MAS: an ontology-based method for analyzing multi-agent systems design models

  • Authors:
  • Anarosa A. F. Brandão;Viviane Torres Da Silva;Carlos J. P. De Lucena

  • Affiliations:
  • Laboratório de Técnicas Inteligentes, PCS-POLI-USP, Saão Paulo, Brazil;Departamento de Sistemas Informáticos y Programación, UCM, Ciudad Universitaria, Madrid;Computer Science Department, PUC-Rio, Rio de Janeiro, Brazil

  • Venue:
  • AOSE'06 Proceedings of the 7th international conference on Agent-oriented software engineering VII
  • Year:
  • 2006

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Abstract

Agents are becoming a popular technology for the development of distributed, heterogeneous and always available systems. The application of agent technologies requires extensions to the existing object-oriented modeling languages to accommodate agent-related abstractions such as roles, organizations and environments. If it is difficult to analyze and establish the well-formedness of a set of diagrams of a UML-like object-oriented modeling language, it gets far more complex when the language is extended to add a set of agency related abstractions. In order to tame such complexity, we propose an ontology-based method for analyzing MAS specifications described using a modeling language that extends UML to accommodate the agency characteristics. The method proposes a twophase approach that covers different sets of MAS design properties. These properties are the ones related to each individual diagram and the ones associated with pairs of diagrams. The later take into consideration the interdependencies between diagrams. The method also provides features that allow the suggestion of some design guidelines whichmay improve the MAS design quality.