Trust Estimation Using Contextual Fitness

• Type: Article in International Conference Proceedings Book
• Date: 2010

Authors

urbano, j (Author) Other; rocha, ap (Author) FEUP; oliveira, e (Author) FEUP

Conference proceedings International

Title: AGENT AND MULTI-AGENT SYSTEMS: TECHNOLOGIES AND APPLICATIONS, PT I, PROCEEDINGS

Pages: 42-51

4th KES International Symposium on Agent and Multi-Agent Systems

Gdynia, POLAND, JUN 23-25, 2010

Indexing

ISI Web of Knowledge - 8 Citations

Scopus - 9 Citations

Scientific classification

FOS: Natural sciences > Computer and information sciences

Other information

Authenticus ID: P-003-A0R

DOI: 10.1007/978-3-642-13480-7_6

Abstract (EN): Trust estimation is an essential process in several multi-agent systems domains. Although it is generally accepted that trust is situational, the majority of the Computational Trust and Reputation (CTR) systems existing today are not situation-aware. In this paper, we address the inclusion of the context in the trust management process. We first refer the benefits of considering context and make an overview of recently proposed situational-aware trust models. Then, we propose Contextual Fitness, a CTR component that brings context into the loop of trust management. We empirically show that this component optimizes the estimation of trustworthiness values in context-specific scenarios. Finally, we compare Contextual Fitness with another situation-aware trust approach proposed in the literature.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 10