An abstract, logical approach to characterizing strong equivalence in non-monotonic knowledge representation formalisms

作者:

摘要

Two knowledge bases are strongly equivalent if and only if they are mutually interchangeable in arbitrary contexts. This notion is of high interest for any logical formalism, since it allows to locally replace parts of a given theory without changing its meaning. In contrast to classical logic, where strong equivalence coincides with standard equivalence (having the same models), it is possible to find ordinary but not strongly equivalent objects for any nonmonotonic formalism available in the literature. Consequently, much effort has been devoted to characterizing strong equivalence for knowledge representation formalisms such as logic programs under the stable model semantics, Reiter's default logic, or Dung's argumentation frameworks. For example, strong equivalence for logic programs under stable models can be characterized by so-called HT-models. More precisely, two logic programs are strongly equivalent if and only if they are standard equivalent in the logic of here and there. This means that the logic of here and there can be seen as a characterizing formalism for logic programs under stable model semantics.

论文关键词:Strong equivalence,Knowledge representation formalisms,Logic

论文评审过程:Received 22 March 2019, Revised 17 September 2021, Accepted 2 February 2022, Available online 7 February 2022, Version of Record 17 February 2022.

论文官网地址:https://doi.org/10.1016/j.artint.2022.103680