Document Type
Conference Proceeding
Publication Date
12-2009
Abstract
Trust and confidence are becoming key issues in diverse applications such as ecommerce, social networks, semantic sensor web, semantic web information retrieval systems, etc. Both humans and machines use some form of trust to make informed and reliable decisions before acting. In this work, we briefly review existing work on trust networks, pointing out some of its drawbacks. We then propose a local framework to explore two different kinds of trust among agents called referral trust and functional trust, that are modelled using local partial orders, to enable qualitative trust personalization. The proposed approach formalizes reasoning with trust, distinguishing between direct and inferred trust. It is also capable of dealing with general trust networks with cycles.
Repository Citation
Thirunarayan, K.,
Althuru, D.,
Henson, C. A.,
& Sheth, A. P.
(2009). A Local Qualitative Approach to Referral and Functional Trust. .
https://corescholar.libraries.wright.edu/knoesis/675
Included in
Bioinformatics Commons, Communication Technology and New Media Commons, Databases and Information Systems Commons, OS and Networks Commons, Science and Technology Studies Commons
Comments
Presented at the 4th Indian International Conference on Artificial Intelligence, Tumkur, India, December 16-19, 2009.