Epistemic specifications and conformant planning

Yan Zhang, Yuanlin Zhang

Research output: Chapter in Book / Conference PaperConference Paper

3 Citations (Scopus)

Abstract

Epistemic Specifications allow for the correct representation of incomplete information in the presence of multiple belief sets by expanding Answer Set Programming with modal operators K and M. The meaning of M in the existing work does not correspond well to the principle of justifiedness accepted by the community. It is, however, challenging to characterize the justfiedness of each belief, due to the complexity introduced by M. We address this issue by identifying a belief set with a program which uniquely decides the belief set. This idea leads to a novel definition of the semantics of Epistemic Specifications which assures that each belief in any belief set is well justified. We also show that conformant planning problems can be naturally represented by Epistemic Specification under our semantics.
Original languageEnglish
Title of host publicationTechnical Reports of The Workshops of the Thirty-First AAAI Conference on Artificial Intelligence, 4-5 February 2017, San Francisco, California, USA
PublisherAAAI Press
Pages781-787
Number of pages7
ISBN (Print)9781577357865
Publication statusPublished - 2017
EventAAAI Conference on Artificial Intelligence. Workshops -
Duration: 1 Jan 2017 → …

Conference

ConferenceAAAI Conference on Artificial Intelligence. Workshops
Period1/01/17 → …

Keywords

  • epistemic logic
  • logic programming
  • problem solving
  • semantics

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