[en] Trust in multiagent systems is used for seeking to minimize
the uncertainty in the interactions among the agents. In this
paper, we discuss how to use argumentation to reason about
trust. Using the methodology of meta-argumentation, first we
represent the source of the information from which the argument
is constructed in the abstract argumentation framework
capturing the fact that b is attacked because b is from a particular
source s. We show how a source of information can
be attacked if it is not evaluated as trustworthy. Second, we
provide a fine grained representation of the trust relationships
between the information sources in which trust concerns not
only the sources but also the single arguments and attack relations
the sources propose. Moreover, we represent the evidences
in support of the arguments which are put forward by
the information sources and the agents can express arguments
by referring to other agents’ arguments. Meta-argumentation
allows us not to extend Dung’s abstract argumentation framework
by introducing trust and to reuse those principles and
properties defined for Dung’s framework.
Disciplines :
Computer science
Identifiers :
UNILU:UL-CONFERENCE-2011-088
Author, co-author :
Villata, Serena
Boella, Guido ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Gabbay, Dov M. ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
van der Torre, Leon ; University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
External co-authors :
yes
Language :
English
Title :
Arguing about Trust in Multiagent Systems
Publication date :
2010
Event name :
Proceedings of the 11th Symposium on Artificial Intelligence of the Italian Association for Artificial Intelligence (AIIA'10)
Event date :
2010
By request :
Yes
Audience :
International
Journal title :
Proceedings of the 11th Symposium on Artificial Intelligence of the Italian Association for Artificial Intelligence (AIIA'10)