Flexibility and Efficiency in Blackboard Systems : Studies and Achievements in ATOME
Identifieur interne : 00E826 ( Main/Merge ); précédent : 00E825; suivant : 00E827Flexibility and Efficiency in Blackboard Systems : Studies and Achievements in ATOME
Auteurs : H. Lâasri ; B. MaîtreSource :
English descriptors
Abstract
Achieving flexibility and efficiency in reasoning systems depends on how knowledge is organized and controlled. Blackboard architectures have proved their utility and power in the development of advanced reasoning systems. However much of them have been built from scratch, implementing the blackboard model according to the criteria that appeared most appropriate for a particular application. Some implementations like solution-based focusing architectures were designed for sake of execution efficiency, while others like blackboard control architectures were built for flexibility. In order to achieve these two fundamental and conflicting behaviors in blackboard systems, we propose a meta-level architecture which achieves oportunism and efficiency by organizing knowledge in a hierarchical manner and by managing them by way of a hybrid multi-stage problem-solver.
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<front><div type="abstract" xml:lang="en" wicri:score="3412">Achieving flexibility and efficiency in reasoning systems depends on how knowledge is organized and controlled. Blackboard architectures have proved their utility and power in the development of advanced reasoning systems. However much of them have been built from scratch, implementing the blackboard model according to the criteria that appeared most appropriate for a particular application. Some implementations like solution-based focusing architectures were designed for sake of execution efficiency, while others like blackboard control architectures were built for flexibility. In order to achieve these two fundamental and conflicting behaviors in blackboard systems, we propose a meta-level architecture which achieves oportunism and efficiency by organizing knowledge in a hierarchical manner and by managing them by way of a hybrid multi-stage problem-solver.</div>
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