Deciding refinement relation in belief-intention databases

Zhanhao Xiao, Andreas Herzig, Laurent Perrussel, Dongmo Zhang

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

Abstract

Bratman's Belief-Desire-Intention (BDI) theory is seminal in the literature on BDI agents. His BDI theory is taken into account to extend Shoham's database perspective on beliefs and intentions. In the extended framework, an intentions is considered as a high-level action, which cannot be executed directly, with a duration. They have to be progressively refined until executable basic actions are obtained. Higher- and lower-level actions are linked by the means-end relation, alias instrumentality relation. In this paper, we investigate the complexity of the decision problems for satisfiability, consequence, refinement and instrumentality in the database. Moreover, we translate these problems into the satisfiability and validity problems in propositional linear temporal logic (PLTL). With such translations, we can utilize the efficient automated theorem provers for PLTL to solve the problem of deciding the refinement relation between an intention and an intention set, as well as the instrumentality relation.
Original languageEnglish
Title of host publicationProceedings of AI*IA 2017: Advances in Artificial Intelligence: XVIth International Conference of the Italian Association for Artificial Intelligence Bari, Italy, November 14–17, 2017
PublisherSpringer
Pages186-199
Number of pages14
ISBN (Print)9783319701684
DOIs
Publication statusPublished - 2017
EventItalian Association for Artificial Intelligence. International Conference -
Duration: 14 Nov 2017 → …

Publication series

Name
ISSN (Print)0302-9743

Conference

ConferenceItalian Association for Artificial Intelligence. International Conference
Period14/11/17 → …

Keywords

  • artificial intelligence
  • databases
  • intelligent agents (computer software)
  • linear temporal logic
  • problem solving

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