Distance-based non-deterministic semantics

Ofer Arieli, Anna Zamansky

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Representing uncertainty and reasoning with dynamically evolving systems are two related issues that are in the heart of many information systems. In this paper we show that these tasks can be successfully dealt with by incorporating distance semantics and non-deterministic matrices. The outcome is a general framework for capturing the principle of minimal change and providing a non-deterministic view of the domain of discourse. We investigate some properties of the entailment relations that are induced by this framework and demonstrate their usability in some test-cases.

Original languageEnglish
Title of host publicationArtificial General Intelligence 2008. Proceedings of the First AGI Conference
PublisherIOS Press
Number of pages12
ISBN (Print)9781586038335
StatePublished - 2008
Externally publishedYes

Publication series

NameFrontiers in Artificial Intelligence and Applications
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

ASJC Scopus subject areas

  • Artificial Intelligence


Dive into the research topics of 'Distance-based non-deterministic semantics'. Together they form a unique fingerprint.

Cite this