A Multi-Agent Problem Solving Architecture based on UPML

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

Keywords

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

Abstract

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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