Review on Computational Trust and Reputation Models
Artificial Intelligence Review
TRAVOS: Trust and Reputation in the Context of Inaccurate Information Sources
Autonomous Agents and Multi-Agent Systems
Trust network analysis with subjective logic
ACSC '06 Proceedings of the 29th Australasian Computer Science Conference - Volume 48
Agent-based virtual organisations for the Grid
Multiagent and Grid Systems - Smart Grid Technologies & Market Models
Formal trust model for multiagent systems
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
An empirical evaluation of geometric subjective logic operators
AT'13 Proceedings of the Second international conference on Agreement Technologies
| Hi-index | 0.00 |
Trust mechanisms can allow an agent to identify the most trustworthy entity to which a task should be delegated. Now this entity may further delegate the task, ultimately resulting in a delegation chain representing the sub-delegation process. Such delegation chains present a problem for current trust evaluation mechanisms, as they typically which reward or penalise a single agent rather than sharing responsibility among all members of the delegation chain. As a result, decisions made on such incorrect trust values would not be optimal, leading to degraded system performance. In this paper we investigate the effects of sub-delegation on a probabilistic trust model and propose a model of weighting trust updates based on shared responsibility. We evaluate this model in the context of a simulated multi-agent system and describe how different weighting strategies can affect probabilistic trust updates when sub-delegation is possible.