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AAAI 2000

Solving Advanced Reasoning Tasks Using Quantified Boolean Formulas

Conference Paper Nonmonotonic Reasoning Artificial Intelligence

Abstract

We consider the compilation of different reasoning tasks into the evaluation problem of quantified boolean formulas (QBFs) as an approach to develop prototype reasoning systems useful for, e. g. , experimental purposes. Such a method is a natural generalization of a similar technique applied to NP-problems and has been recently proposed by other researchers. More specifically, we present translations of several well-known reasoning tasks from the area of nonmonotonic reasoning into QBFs, and compare their implementation in the prototype system QUIP with established NMRprovers. The results show reasonable performance, and document that the QBF approach is an attractive tool for rapid prototyping of experimental knowledge-representation systems.

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Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
695941024600183851