Affiliation:
1. Università di Roma “La Sapienza”, Roma, Italy
2. Technische Universität Wien, Wien, Austria
Abstract
Circumscription has been recognized as an important principle for knowledge representation and common-sense reasoning. The need for a circumscriptive formalism that allows for simple yet elegant modular problem representation has led Lifschitz (AIJ, 1995) to introduce nested abnormality theories (NATs) as a tool for modular knowledge representation, tailored for applying circumscription to minimize exceptional circumstances. Abstracting from this particular objective, we propose L
CIRC
, which is an extension of generic propositional circumscription by allowing propositional combinations and nesting of circumscriptive theories. As shown, NATs are naturally embedded into this language, and are in fact of equal expressive capability. We then analyze the complexity of L
CIRC
and NATs, and in particular the effect of nesting. The latter is found to be a source of complexity, which climbs the Polynomial Hierarchy as the nesting depth increases and reaches PSPACE-completeness in the general case. We also identify meaningful syntactic fragments of NATs which have lower complexity. In particular, we show that the generalization of Horn circumscription in the NAT framework remains coNP-complete, and that Horn NATs without fixed letters can be efficiently transformed into an equivalent Horn CNF, which implies polynomial solvability of principal reasoning tasks. Finally, we also study extensions of NATs and briefly address the complexity in the first-order case. Our results give insight into the “cost” of using L
CIRC
(respectively, NATs) as a host language for expressing other formalisms such as action theories, narratives, or spatial theories.
Publisher
Association for Computing Machinery (ACM)
Subject
Computational Mathematics,Logic,General Computer Science,Theoretical Computer Science
Reference51 articles.
1. Abductive reasoning through filtering
2. Formalizing narratives using nested circumscription
3. Baral C. Kreinovich V. and Trejo R. 2000. Computational complexity of planning and approximate planning in the presence of incompleteness. Artif. Intel. 122 1/2 241--267. 10.1016/S0004-3702(00)00043-6 Baral C. Kreinovich V. and Trejo R. 2000. Computational complexity of planning and approximate planning in the presence of incompleteness. Artif. Intel. 122 1/2 241--267. 10.1016/S0004-3702(00)00043-6
4. A survey on knowledge compilation;Cadoli M.;AI Commun.,1997
Cited by
6 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献