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Issue No.05 - September/October (1998 vol.10)
pp: 706-726
ABSTRACT
<p><b>Abstract</b>—The goal of knowledge-based systems (KBSs) is not only to produce a solution to a problem that these systems face but also to construct—implicitly or explicitly—a <it>situation-specific model</it> (SSM) that explicates the rationale behind that solution. This paper focuses on how KBSs can benefit from the availability of explicit <it>goal knowledge</it> that reflects the underlying structure (ontology) of SSMs constructed for an application task. It first shows how goal knowledge can be captured. Then, it explains how ACE-SSM—an architecture for constructing explicit SSMs—uses this knowledge to direct the construction of explicit SSMs. Finally, it discusses benefits that KBSs can derive from the availability of explicit SSMs and their underlying goal knowledge. Some of these benefits pertain to ways to simplify the construction and maintenance of KBSs through reuse, while others relate to ways to endow KBSs with more robust problem-solving and explanation capabilities. These benefits are illustrated using concrete examples.</p>
INDEX TERMS
Goal-directed reasoning, goal knowledge, knowledge-based systems, KBS architecture, situation-specific models.
CITATION
Michel Benaroch, "Goal-Directed Reasoning with ACE-SSM", IEEE Transactions on Knowledge & Data Engineering, vol.10, no. 5, pp. 706-726, September/October 1998, doi:10.1109/69.729726
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