Proof planning and maintainability of AI systems:

Abstract: "Configuring large computer hardware systems is a complex task and efforts to automate it have spawned knowledge based systems which have proved difficult to maintain. We propose a new approach which breaks away from the traditional rule-based IKBS paradigm and have implemented a prot...

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Bibliographic Details
Main Author: Lowe, Helen (Author)
Format: Book
Language:English
Published: Edinburgh 1993
Series:University <Edinburgh> / Department of Artificial Intelligence: DAI research paper 663
Subjects:
Summary:Abstract: "Configuring large computer hardware systems is a complex task and efforts to automate it have spawned knowledge based systems which have proved difficult to maintain. We propose a new approach which breaks away from the traditional rule-based IKBS paradigm and have implemented a prototype system in Prolog in which to test out our ideas. In this paper we give a logical formalism for configuration and use a proofs as configurations approach; this approach is analogous to program synthesis via proofs as programs and equally rigorous. Meta-level control is achieved through proof plans, which embody common strategies for guiding inference. As well as ensuring soundness, in that only legal configurations can be synthesized, the system also facilitates maintenance because of its clean separation of object-level knowledge, heuristics, and control strategies. Using the hardware configuration domain by way of example, we have provided an important proof of concept in the quest for reliable, robust, and maintainable knowledge based systems."
Physical Description:31 S.

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