• DocumentCode
    342863
  • Title

    Reasoning about common knowledge with infinitely many agents

  • Author

    Halpern, Joseph Y. ; Shore, Richard A.

  • Author_Institution
    Dept. of Comput. Sci., Cornell Univ., Ithaca, NY, USA
  • fYear
    1999
  • fDate
    1999
  • Firstpage
    384
  • Lastpage
    393
  • Abstract
    Complete axiomatizations and exponential-time decision procedures are provided for reasoning about knowledge and common knowledge when there are infinitely many agents. The results show that reasoning about knowledge and common knowledge with infinitely many agents is no harder than when there are finitely many agents, provided that we can check the cardinality of certain set differences G G´ where G and G´ are sets of agents. Since our complexity results are independent of the cardinality of the sets G involved, they represent improvements over the previous results even with the sets of agents involved are finite. Moreover, our results make clear the extent to which issues of complexity and completeness depend on how the sets of agents involved are represented
  • Keywords
    computational complexity; inference mechanisms; cardinality; common knowledge; complete axiomatizations; completeness; complexity; complexity results; exponential-time decision procedures; finitely many agents; infinitely many agents; reasoning; set differences; Application software; Artificial intelligence; Computer science; Distributed computing; Game theory; Internet; Mathematics; Software agents; Tellurium; US Department of Defense;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Logic in Computer Science, 1999. Proceedings. 14th Symposium on
  • Conference_Location
    Trento
  • ISSN
    1043-6871
  • Print_ISBN
    0-7695-0158-3
  • Type

    conf

  • DOI
    10.1109/LICS.1999.782633
  • Filename
    782633