Metrics for Computing Trust in a Multi-Agent Environment

TL;DR

This paper proposes a trust metric model for multi-agent systems that combines self-reputation and witness ratings, using weighted averages to mitigate unfair ratings and improve trust assessment accuracy.

Contribution

It introduces a novel trust measurement approach that integrates reputation and witness ratings with a weighting scheme to discount unfair contributions.

Findings

Trust value is computed as a weighted average of reputation and witness ratings.

The model effectively discounts unfair witness ratings through a weight-based method.

The approach enhances trust assessment reliability in multi-agent environments.

Abstract

One of the risks involved in multi agent community is in the identification of trustworthy agent partners for transaction. In this paper we aim to describe a trust model for measuring trust in the interacting agents. The trust metric model works on the basis of the parameters that we have identified. The model primarily analyses trust value on the basis of the agents reputation, as provided by the agent itself, and the agents aggregate rating as provided by the witness agents. The final computation of the trust value is given by a weighted average of these two components. While computing the aggregate rating, a weight based method has been adopted to discount the contribution of possibly unfair ratings by the witness agents.