A Multi-Agent Problem Solving Architecture based on UPML

C. Şandru, V. Negru, and D. Pop (Romania)


multiagent systems, problemsolving methods, taskoriented reasoning, knowledge based systems, nonlinearequation systems solving


The Unified Problem-solving Modeling Language (UPML) provides a coherent view on the problem solving process by relating domain, inference and task knowledge using adaptors (ontology bridges and components refiners). In this paper we propose a generic multi-agent task-oriented architecture based on the UPML model. Finally, this archi tecture is instantiated to solve non-linear equation systems.

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