Welcome to the InfoSci Platform
Reference Hub6
Enhanced Reputation Model with Forgiveness for E-Business Agents

Enhanced Reputation Model with Forgiveness for E-Business Agents

Radu Burete, Amelia Badica, Costin Badica, Florin Moraru
Copyright: © 2011 |Volume: 3 |Issue: 1 |Pages: 16
ISSN: 1943-0744|EISSN: 1943-0752|EISBN13: 9781613505434|DOI: 10.4018/jats.2011010102
Cite Article Cite Article

MLA

Burete, Radu, et al. "Enhanced Reputation Model with Forgiveness for E-Business Agents." IJATS vol.3, no.1 2011: pp.11-26. http://doi.org/10.4018/jats.2011010102

APA

Burete, R., Badica, A., Badica, C., & Moraru, F. (2011). Enhanced Reputation Model with Forgiveness for E-Business Agents. International Journal of Agent Technologies and Systems (IJATS), 3(1), 11-26. http://doi.org/10.4018/jats.2011010102

Chicago

Burete, Radu, et al. "Enhanced Reputation Model with Forgiveness for E-Business Agents," International Journal of Agent Technologies and Systems (IJATS) 3, no.1: 11-26. http://doi.org/10.4018/jats.2011010102

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Trust is a very important quality attribute of an e-service. In particular, the increasing complexity of the e-business environment requires the development of new computational models of trust and reputation for e-business agents. In this paper, the authors introduce a new reputation model for agents engaged in e-business transactions. The model enhances classic reputation models by the addition of forgiveness factor and the use of new sources of reputation information based on agents groups. The paper proposes an improvement of this model by employing the recent con-resistance concept. Finally, the authors show how the model can be used in an agent-based market environment where trusted buyer and seller agents meet, negotiate, and transact multi-issue e-business contracts. The system was implemented using JADE multi-agent platform and initially evaluated on a sample set of scenarios. The paper introduces the design and implementation of the agent-based system together with the experimental scenarios and results.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.