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Article Dans Une Revue Applied Artificial Intelligence Année : 2002

Multi-Agents Corporate Memory Management System

Résumé

This paper presents an approach to design a multi-agent system managing a corporate memory in the form of a distributed semantic web and describes the resulting architecture. The system was designed during the CoMMA European project (Corporate Memory Management through Agents) and aims at helping users in the management of a corporate memory, facilitating the creation, dissemination, transmission and reuse of knowledge in an organisation. The implementation integrated several emerging technologies: multi-agents system technology (using the JADE FIPA-compliant platform), knowledge modelling and XML technology for information retrieval (using the CORESE semantic search engine) and machine learning techniques. Here, we describe the agent roles and interactions, we explain the design rationale for the agent societies and we discuss the configuration and implementation issues.
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Dates et versions

hal-01146292 , version 1 (28-04-2015)

Identifiants

  • HAL Id : hal-01146292 , version 1

Citer

Fabien Gandon, Agostino Poggi, Giovanni Rimassa, Paola Turci. Multi-Agents Corporate Memory Management System. Applied Artificial Intelligence, 2002, Engineering Agent Systems: Best of "From Agent Theory to Agent Implementation (AT2AI)-3", 16 (9-10), pp.21. ⟨hal-01146292⟩
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