Engaging the Dynamics of Trust in Computational Trust and Reputation Systems

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

Authors

danek, a (Author) Other; 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: 22-31

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

Gdynia, POLAND, JUN 23-25, 2010

Indexing

ISI Web of Knowledge - 4 Citations

Scopus - 11 Citations

Scientific classification

FOS: Natural sciences > Computer and information sciences

Other information

Authenticus ID: P-003-A0Q

DOI: 10.1007/978-3-642-13480-7_4

Abstract (EN): Computational Trust and Reputation (CTR,) systems are essential in electronic commerce to encourage interactions and suppress deceptive behaviours. This paper focus on comparing two different kinds of approaches to evaluate the trustworthiness of suppliers. One is based on calculating the weighted mean of past results. The second one applies basic properties of the dynamics of trust. Different scenarios are investigated, including a. more problematic one that results from introducing newcomers during the simulation. Experimental results presented in this paper prove the benefits of engaging properties of the dynamics of trust in CRT systems, as it noticeably improves the process of business partners' selection and increases the utility.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 10