Certainty versus Actuality in Trust Networks
| has title::Certainty versus Actuality in Trust Networks | |
|---|---|
status: ongoing
| |
| Master: | project within::Computational Intelligence And Self Organisation |
| Student name: | student name::Nicolas Höning |
| number: | student number::1735659 |
| Dates | |
| Start | start date:=04/01/2009 |
| End | end date:=08/31/2009 |
| Supervision | |
| Supervisor: | Martijn Schut |
| Poster: | has poster::Media:Media:poster.pdf |
Signature supervisor
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Abstract
KIM 1: Abstract
Presentation date: May 28, 2009
A recent stream of research (Josang, Singh, Wang) developed a certainty-based trust representation, which not only communicates as how likely a good experience with the trustee is estimated, but also on how much actual experience this opinion is based. Agents can then rely more on trust reports which contain more information, thus interpreting them as more certain. In an environment where service providers may change the quality of their service, agents now face a dilemma: They desire two things in a trust report, certainty and actuality, but those are antiproportional: To make a trust report more actual, old information has to be discounted.
This research will build upon work by Hang et al (2008), where a simple trust referral network was designed to test certainty-based trust referral algebras in the presence of dynamic service quality and misleading referrals. Very basic time-based discounting of information has been implemented, but the above mentioned dilemma has not been explored. I plan to extend the network design to examine the effect of discounting strategies of referrers on the network performance.
