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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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https://hal.inria.fr/inria-00077180
Contributor : Rapport de Recherche Inria <>
Submitted on : Monday, May 29, 2006 - 5:14:19 PM
Last modification on : Thursday, February 11, 2021 - 2:48:31 PM
Long-term archiving on: : Friday, May 13, 2011 - 8:59:33 PM

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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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