In this paper we address a specific computational aspect of belief revision: The size of the propositional formula obtained by means of the revision of a formula with a new one. In particular, we focus on the size of the smallest formula equivalent to the revised knowledge base. The main result of this paper is that not all formalizations of belief revision are equal from this point of view. For some of them we show that the revised knowledge base can be expressed with a formula admitting a polynomial-space representation (we call these results 'compactability' results). On the other hand we are able to prove that for other ones the revised knowledge base does not always admit a polynomial-space representation, unless the polynomial hierarchy collapses at a sufficiently low level ('non-compactability' results). The time complexity of query answering for the revised knowledge base has definitely an impact on being able to represent the result of the revision compactly. Nevertheless formalisms with the same complexity may have different compactability properties.

Size of a revised knowledge base / Cadoli, Marco; Donini Francesco, M.; Liberatore, Paolo; Schaerf, Marco. - (1995), pp. 151-162. (Intervento presentato al convegno Proceedings of the 14th ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems tenutosi a San Jose, CA, USA,).

Size of a revised knowledge base

Cadoli Marco;Donini Francesco M.;Liberatore Paolo;Schaerf Marco
1995

Abstract

In this paper we address a specific computational aspect of belief revision: The size of the propositional formula obtained by means of the revision of a formula with a new one. In particular, we focus on the size of the smallest formula equivalent to the revised knowledge base. The main result of this paper is that not all formalizations of belief revision are equal from this point of view. For some of them we show that the revised knowledge base can be expressed with a formula admitting a polynomial-space representation (we call these results 'compactability' results). On the other hand we are able to prove that for other ones the revised knowledge base does not always admit a polynomial-space representation, unless the polynomial hierarchy collapses at a sufficiently low level ('non-compactability' results). The time complexity of query answering for the revised knowledge base has definitely an impact on being able to represent the result of the revision compactly. Nevertheless formalisms with the same complexity may have different compactability properties.
1995
Proceedings of the 14th ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems
Computational complexity; Computational methods; Query languages
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Size of a revised knowledge base / Cadoli, Marco; Donini Francesco, M.; Liberatore, Paolo; Schaerf, Marco. - (1995), pp. 151-162. (Intervento presentato al convegno Proceedings of the 14th ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems tenutosi a San Jose, CA, USA,).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1325168
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