Difference between revisions of "Certainty versus Actuality in Trust Networks"

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(New page: {{Masterproject |Master name=Computational Intelligence And Self Organisation |Student name=Nicolas Höning |Student number= |Project start date=04/01/2009 |Project end date=08/31/2009 |Su...)
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|Master name=Computational Intelligence And Self Organisation
|Master name=Computational Intelligence And Self Organisation
|Student name=Nicolas Höning
|Student name=Nicolas Höning
|Student number=
|Student number=1735659
|Project start date=04/01/2009
|Project start date=04/01/2009
|Project end date=08/31/2009
|Project end date=08/31/2009

Revision as of 06:47, 22 May 2009

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
Start start date:=04/01/2009
End end date:=08/31/2009
Supervisor: Martijn Schut
Poster: has poster::Media:Media:poster.pdf

Signature supervisor



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.