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Engaging the dynamics of trust in computational trust and reputation systems

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationAgent and Multi-Agent Systems
Subtitle of host publicationTechnologies and Applications - 4th KES International Symposium, KES-AMSTA 2010, Proceedings
Pages22-31
Number of pages10
EditionPART 1
DOIs
Publication statusPublished - 2010
Event4th KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications, KES-AMSTA 2010 - Gdynia, Poland
Duration: 23 Jun 201025 Jun 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume6070 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications, KES-AMSTA 2010
Country/TerritoryPoland
CityGdynia
Period23/06/1025/06/10

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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