A Comparative Analysis of Trust Models for Multi-Agent Systems

Abstract

Multi-agent systems can break interactions in distributed and heterogeneous environments, therefore, trust models play a critical role in determining how interactions take place between multiple agents. This paper compared and analyzed some recent trust models based on five important components: architecture, dimension, initial trust, reputation, and risk. Overall results indicate risk and initial trust to be the weakest components, whereas dimension, reputation and architecture are the strong components of the existing trust models. This analysis helps to introduce the standard components of trust and reputation models for e-commerce multi-agent systems, and to identify the weakness and strengths of the models based on these standard components

The Scalability of Trustless Trust

“…Trust research and current implementations are primarily focused on the first two approaches. This allows creating agents on a platform that enforces these defined trust measurements [1] [26] [24] [20].…”

Design and validation of a trust-based opportunity-enabled risk management system

“…In general, it is recognized that trust (Marsh, 1994; Jøsang, 2007) and risk form, combined together, an important dichotomy in the decision-making system (Dimmock, 2005; Seigneur et al , 2014). Hence, there is a need to incorporate more consideration for risk in designing trust models (Balakrishnan and Majd, 2013). The OPPRIM methodology encompasses such a philosophy, as trust is considered and used as part of the risk analysis, while the outcome of risk analysis can provide useful parameters for the trust management system.…”