The official PGP user's guide
Immunizing online reputation reporting systems against unfair ratings and discriminatory behavior
Proceedings of the 2nd ACM conference on Electronic commerce
Communications of the ACM
Peer-to-Peer: Harnessing the Power of Disruptive Technologies
Peer-to-Peer: Harnessing the Power of Disruptive Technologies
Supporting Trust in Virtual Communities
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 6 - Volume 6
A Computational Model of Trust and Reputation for E-businesses
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 7 - Volume 7
Collaborative Reputation Mechanisms in Electronic Marketplaces
HICSS '99 Proceedings of the Thirty-second Annual Hawaii International Conference on System Sciences-Volume 8 - Volume 8
A trust model for distributed systems based on reputation
International Journal of Web and Grid Services
Ubiquitous collaborative iTrust service: Exploring proximity collective wisdom
Information Systems Frontiers
PATROL: a comprehensive reputation-based trust model
International Journal of Internet Technology and Secured Transactions
Journal of Computational Methods in Sciences and Engineering - Intelligent Systems and Knowledge Management (Part II)
Experiments on semantic interoperability of agent reputation models using the SOARI architecture
Engineering Applications of Artificial Intelligence
TIDE: measuring and evaluating trustworthiness and credibility of enterprises in digital ecosystem
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
A delegation model for designing collaborative multi-agent systems
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Hi-index | 0.00 |
Reputation has recently received considerable attention within a number of disciplines such as distributed artificial intelligence, economics, evolutionary biology, among others. Most papers about reputation provide an intuitive approach to reputation which appeals to common experiences without clarifying whether their use of reputation is similar or different from those used by others. This paper argues that reputation is not a single notion but one with multiple parts. After a survey of existing works on reputation, an intuitive typology is proposed summarizing existing works on reputation across diverse disciplines. This paper then describes a simple simulation framework based on evolutionary game theory for understanding the relative strength of the different notions of reputation. Whereas these notions of reputation could only be compared qualitatively before, our simulation framework has enabled us to compare them quantitatively.