- A Policy Framework including Trust and Reputation in Grid Environments (2007)
- This paper examines the role of policies in different grid environments. A Grid technology becomes standardized and stable, various business models are envented and increasingly applied, and economic implications can be observed.Asymmetrically distributed information may allow for opportunistic behaviour of service providers or users who exploit the information gap between providers and consumers on the quality of services.
- A Survey on Reputation Systems for Artificial Societies (2009)
- The Internet has caused a revolution in trading. Especially cheap items are now easy to buy and sell on the Internet. As a consequence, sellers nowadays offer a wide range of products on the web, creating an abundance of choice for consumers. Consumers have the opportunity to browse on different auction sites for the item they really want. Along with this success story, however, came the stories of people being cheated by fraudulent online sellers. These frauds cover a range from not delivering what has been promised, the overrating of a product´s condition, to deliberate acts of theft. They are a result of so-called asymmetric information. Trust and reputation mechanisms are intended to address this asymmetric information distribution. This article surveys the most common trust and reputation systems.
- Reputation in Multi Agent Systems and the Incentives to Provide Feedback (2009)
- The emergence of the Internet leads to a vast increase in the number of interactions between parties that are completely alien to each other. In general, such transactions are likely to be subject to fraud and cheating. If such systems use computerized rational agents to negotiate and execute transactions, mechanisms that lead to favorable outcomes for all parties instead of giving rise to defective behavior are necessary to make the system work: trust and reputation mechanisms. This paper examines different incentive mechanisms helping these trust and reputation mechanisms in eliciting users to report own experiences honestly.