Paper Info
Title
Aggregation of Trust for Iterated Belief Revision in Probabilistic Logics
Abstract
In this paper it is shown how communication about trust in a multi-agent system may be used to endow agents with belief change capabilities, in a probabilistic logical framework. Belief change operators are obtained in an intuitive, principled way using aggregation operators for trust-values. Under additional conditions, such change operators may be proved to be maxichoice. The present approach constitutes a sound method for autonomous uncertainty management in multi-agent systems.
Year
DOI
Venue
2009
10.1007/978-3-642-04388-8_14
SUM
Keywords
Field
DocType
sound method,probabilistic logical framework,additional condition,probabilistic logics,aggregation operator,belief change operator,multi-agent system,change operator,present approach,iterated belief revision,autonomous uncertainty management,belief change capability,probabilistic logic,multi agent system,belief revision
Belief change,Computer science,Fuzzy logic,Operator (computer programming),Modal logic,Artificial intelligence,Probabilistic logic,Iterated function,Logical framework,Belief revision
Conference
Volume
ISSN
Citations 
5785
0302-9743
2
PageRank 
References 
Authors
0.38
14
1
Name
Order
Citations
PageRank
Pere Pardo1478.63