On Computing All Abductive Explanations

T Eiter, K Makino

Eighteenth national conference on Artificial intelligence(2002)

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摘要
We consider the computation of all respectively 4 polynomial subset of the explanations of an abductive query from a Horn theory, and pay particular attention to whether the query is a positive or negative letter, the explanation is based on literals from an assumption set, and the Horn theory is represented in terms of formulas or characteristic models. We derive tractability results, one of which refutes a conjecture by Selman and Levesque, as well as intractability results, and furthermore also semi-tractability results in terms of solvability in quasi-polynomial time. Our results complement previous results in the literature, and elucidate the computational complexity of generating the set of explanations.
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关键词
Horn theory,abductive query,assumption set,characteristic model,computational complexity,intractability result,negative letter,particular attention,polynomial subset,previous result,abductive explanation
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