Vidal's libraryTitle: | An Evidential Model of Distributed Reputation Management |
Author: | Bin Yu and Munindar P. Singh |
Book Tittle: | Proceedings of the 1st International Joint Conference on Autonomous Agents and MultiAgent Systems |
Pages: | 294--301 |
Year: | 2002 |
Abstract: | For agents to function effectively in large and open networks, they must ensure that their correspondents, i.e., the agents they interact with, are trustworthy. Since no central authorities may exist, the only way agents can find trustworthy correspondents is by collaborating with others to identify those whose past behavior has been untrustworthy. In other words, finding trustworthy correspondents reduces to the problem of distributed reputation management. Our approach adapts the mathematical theory of evidence to represent and propagate the ratings that agents give to their correspondents. When evaluating the trustworthiness of a correspondent, an agent combines its local evidence (based on direct prior interactions with the correspondent) with the testimonies of other agents regarding the same correspondent. We experimentally studied this approach to establish that some important properties of trust are captured by it. |
Cited by 118 - Google Scholar
@InProceedings{yu02a,
author = {Bin Yu and Munindar P. Singh},
title = {An Evidential Model of Distributed Reputation
Management},
googleid = {mgxXu_HF7ywJ:scholar.google.com/},
booktitle = {Proceedings of the 1st International Joint
Conference on Autonomous Agents and MultiAgent
Systems},
pages = {294--301},
year = 2002,
url = {http://jmvidal.cse.sc.edu/library/yu02a.pdf},
abstract = {For agents to function effectively in large and open
networks, they must ensure that their
correspondents, i.e., the agents they interact with,
are trustworthy. Since no central authorities may
exist, the only way agents can find trustworthy
correspondents is by collaborating with others to
identify those whose past behavior has been
untrustworthy. In other words, finding trustworthy
correspondents reduces to the problem of distributed
reputation management. Our approach adapts the
mathematical theory of evidence to represent and
propagate the ratings that agents give to their
correspondents. When evaluating the trustworthiness
of a correspondent, an agent combines its local
evidence (based on direct prior interactions with
the correspondent) with the testimonies of other
agents regarding the same correspondent. We
experimentally studied this approach to establish
that some important properties of trust are captured
by it.},
keywords = {multiagent trust},
cluster = {3238024299123510426}
}
Last modified: Wed Mar 9 10:15:30 EST 2011