Eliciting Truthful Feedback for Binary Reputation Mechanisms

Authors:
Radu Jurca;Boi Faltings
Affiliations:
Swiss Federal Institute of Technology (EPFL), Switzerland;Swiss Federal Institute of Technology (EPFL), Switzerland
Venue:
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Year:
2004

Citing 6
Cited 5

Notions of reputation in multi-agents systems: a review

Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Incentive compatible mechanism for trust revelation

Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Goodwill Hunting: An Economically Efficient Online Feedback Mechanism for Environments with Variable Product Quality

AAMAS '02 Revised Papers from the Workshop on Agent Mediated Electronic Commerce on Agent-Mediated Electronic Commerce IV, Designing Mechanisms and Systems
Detecting deception in reputation management

AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
An incentive compatible reputation mechanism

AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
CONFESS " An Incentive Compatible Reputation Mechanism for the Online Hotel Booking Industry

CEC '04 Proceedings of the IEEE International Conference on E-Commerce Technology

The Network Game: Analyzing Network-Formation and Interaction Strategies in Tandem

WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
A mechanism that provides incentives for truthful feedback in peer-to-peer systems

Electronic Commerce Research
MTrust: a reputation-based trust model for a mobile agent system

ATC'06 Proceedings of the Third international conference on Autonomic and Trusted Computing
Optimizing an incentives' mechanism for truthful feedback in virtual communities

AP2PC'05 Proceedings of the 4th international conference on Agents and Peer-to-Peer Computing
Extensive experimental validation of a personalized approach for coping with unfair ratings in reputation systems

Journal of Theoretical and Applied Electronic Commerce Research

Quantified Score

Hi-index	0.00

Visualization

Abstract

Reputation mechanisms offer an efficient way of building the necessary level of trust in electronic markets. Feedback about an agent's past behavior can be aggregated into a measure of reputation, and used by other agents for taking trust decisions. Unfortunately, true feedback cannot be automatically assumed. In the absence of Trusted Third Parties, the mechanism has to make it rational for agents to truthfully share reputation information. In this paper we describe two mechanisms that can be used in decentralized environments for eliciting true feedback. The mechanisms are accompanied by examples inspired by real scenarios.