ATOME : a blackboard architecture with temporal and hypothetical reasoning

Abstract : To cope with high level AI-based applications as signal understanding, process control or decision making, an AI system must take into account various knowledge sources and reasoning schemes. In this paper, we propose a blackboard-based architecture which achieves opportunism and efficiency while controlling multiple knowledge sources. In addition it integrates temporal and hypothetical reasoning to deal with applications evolving in time, and manipulating noisy or errorfull information.
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Rapport
[Research Report] RR-0855, INRIA. 1988
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https://hal.inria.fr/inria-00077180
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Soumis le : lundi 29 mai 2006 - 17:14:19
Dernière modification le : mercredi 6 décembre 2017 - 10:44:02
Document(s) archivé(s) le : vendredi 13 mai 2011 - 20:59:33

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  • HAL Id : inria-00077180, version 1

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Hassan Laasri, Brigitte Maitre, Thierry Mondot, François Charpillet, Jean-Paul Haton. ATOME : a blackboard architecture with temporal and hypothetical reasoning. [Research Report] RR-0855, INRIA. 1988. 〈inria-00077180〉

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