Foundations of tree-like local model updates

Yan Zhang, Michael Kelly, Yi Zhou

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

    2 Citations (Scopus)

    Abstract

    Model update is an approach to enhance model checking functions by providing computer aided modifications in system development [2, 9]. It has been observed that one major obstacle restricting the application of this approach, e.g. CTL model update [15], is that the update has to take the entire system model into account, and that is usually not feasible for large scale domains. In this paper, we develop a tree-like local model update approach under the framework of ACTL - a widely used fragment of CTL in property specification. We define a bisimulation based minimal change principle on tree-like local model update, reveal its relationship to traditional belief update and provide essential semantic characterizations. We also investigate primary semantic and computational properties in relation to tree-like local model update. Finally we briefly describe the update system prototype that we have implemented and summarize our experimental results.
    Original languageEnglish
    Title of host publicationECAI 2010: 19th European Conference on Artificial Intelligence: Including Prestigious Applications of Artificial Intelligence (PAIS-2010): 16–20 August 2010, Lisbon, Portugal: Proceedings
    PublisherIOS Press
    Pages615-620
    Number of pages6
    ISBN (Print)9781607506058
    DOIs
    Publication statusPublished - 2010
    EventEuropean Conference on Artificial Intelligence -
    Duration: 27 Aug 2012 → …

    Publication series

    Name
    ISSN (Print)0922-6389

    Conference

    ConferenceEuropean Conference on Artificial Intelligence
    Period27/08/12 → …

    Fingerprint

    Dive into the research topics of 'Foundations of tree-like local model updates'. Together they form a unique fingerprint.

    Cite this