The use of previous direct interactions is probably the best way to calculate a reputation but, unfortunately this information is not always available. This is especially true in large multi-agent systems where interaction is scarce. In this paper we present a reputation system that takes advantage, among other things, of social relations between agents to overcome this problem.
Description
Reputation and social network analysis in multi-agent systems
%0 Conference Paper
%1 544854
%A Sabater, Jordi
%A Sierra, Carles
%B AAMAS '02: Proceedings of the first international joint conference on Autonomous agents and multiagent systems
%C New York, NY, USA
%D 2002
%I ACM
%K Multi-agent
%P 475--482
%R http://doi.acm.org/10.1145/544741.544854
%T Reputation and social network analysis in multi-agent systems
%U http://portal.acm.org/citation.cfm?id=544854&coll=ACM
%X The use of previous direct interactions is probably the best way to calculate a reputation but, unfortunately this information is not always available. This is especially true in large multi-agent systems where interaction is scarce. In this paper we present a reputation system that takes advantage, among other things, of social relations between agents to overcome this problem.
%@ 1-58113-480-0
@inproceedings{544854,
abstract = {The use of previous direct interactions is probably the best way to calculate a reputation but, unfortunately this information is not always available. This is especially true in large multi-agent systems where interaction is scarce. In this paper we present a reputation system that takes advantage, among other things, of social relations between agents to overcome this problem.},
added-at = {2009-11-26T00:55:39.000+0100},
address = {New York, NY, USA},
author = {Sabater, Jordi and Sierra, Carles},
biburl = {https://www.bibsonomy.org/bibtex/20760057de89772888d78ccbacd749c0e/alexpassito},
booktitle = {AAMAS '02: Proceedings of the first international joint conference on Autonomous agents and multiagent systems},
description = {Reputation and social network analysis in multi-agent systems},
doi = {http://doi.acm.org/10.1145/544741.544854},
interhash = {ace4f1b42ed07680f12fdb7c4076a738},
intrahash = {0760057de89772888d78ccbacd749c0e},
isbn = {1-58113-480-0},
keywords = {Multi-agent},
location = {Bologna, Italy},
pages = {475--482},
publisher = {ACM},
timestamp = {2009-11-26T01:04:02.000+0100},
title = {Reputation and social network analysis in multi-agent systems},
url = {http://portal.acm.org/citation.cfm?id=544854&coll=ACM},
year = 2002
}