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
Link To Document