An Effective Algorithm for the Futile Questioning Problem
In the futile questioning problem, one must decide whether acquisition of additional information can possibly lead to the proof of a conclusion. Solution of that problem demands evaluation of a quantified Boolean formula at the second level of the polynomial hierarchy. The same evaluation problem, c...
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Veröffentlicht in: | Journal of automated reasoning 2005-01, Vol.34 (1), p.31-47 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | In the futile questioning problem, one must decide whether acquisition of additional information can possibly lead to the proof of a conclusion. Solution of that problem demands evaluation of a quantified Boolean formula at the second level of the polynomial hierarchy. The same evaluation problem, called Q-ALL SAT, arises in many other applications. In this paper, we introduce a special subclass of Q-ALL SAT that is at the first level of the polynomial hierarchy. We develop a solution algorithm for the general case that uses a backtracking search and a new form of learning of clauses. Results are reported for two sets of instances involving a robot route problem and a game problem. For these instances, the algorithm is substantially faster than state-of-the-art solvers for quantified Boolean formulas.[PUBLICATION ABSTRACT] |
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ISSN: | 0168-7433 1573-0670 |
DOI: | 10.1007/s10817-005-0981-8 |