A Robust Model for Trust Evaluation during Interactions between Agents in a Sociable Environment
Qin Liang, Minjie Zhang, Fenghui Ren, Takayuki Ito

TL;DR
This paper introduces a robust, decentralized trust evaluation model for agents in sociable environments, combining direct, indirect, and reputation-based trust to enhance reliability across various social network structures.
Contribution
The paper proposes a typology-independent, decentralized trust evaluation model that integrates multiple trust sources for improved robustness in agent interactions.
Findings
Model effectively combines direct, indirect, and reputation trust.
Applicable across diverse social network structures.
Enhances robustness of trust evaluation in agent systems.
Abstract
Trust evaluation is an important topic in both research and applications in sociable environments. This paper presents a model for trust evaluation between agents by the combination of direct trust, indirect trust through neighbouring links and the reputation of an agent in the environment (i.e. social network) to provide the robust evaluation. Our approach is typology independent from social network structures and in a decentralized manner without a central controller, so it can be used in broad domains.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAccess Control and Trust · Privacy-Preserving Technologies in Data · Recommender Systems and Techniques
