Reputation management is about evaluating an agent's actions and other agents' opinions about those actions, reporting on those actions and opinions, and reacting to that report thus creating a feedback loop. This social mechanism has been successfully used, through Reputation Management Systems (RMSs) to classify agents within normative systems. Most RMSs rely on the feedbacks given by the mem...

This paper discusses the effectiveness of sharing information concerning the reputations of buyers and sellers making online transactions in a consumer-to-consumer (C2C) market. We developed a computer simulation model that describes online transactions with a reputation management system that shares information concerning the reputations of consumers. The model takes an agent-based approach in...

Reputation systems evolve as a mechanism to build trust in virtual communities. In this paper we evaluate different metrics for computing reputation in multi-agent systems. We present a formal model for describing metrics in reputation systems and show how different well-known global reputation metrics are expressed by it. Based on the model a generic simulation framework for reputation metrics...

This paper is concerned with the issue of reputation and the computation of group opinion. We argue that entities may receive both objective and subjective opinions, and distinguishing between the two is crucial for achieving more precise measures. Additionally, we argue that the group opinion about an entity α is not only influenced by the opinions that α receives (whether objective or subject...

a r t i c l e i n f o The rapid development of information technology enables an increasing number of consumers to search and book products/services online first and then to consume them in brick-and-mortar stores. This new e-commerce model is called online to offline (O2O) e-commerce and has received significant managerial and academic attention. Compared with many extant e-commerce models (i....

Online Reputation management systems compute, manage, and provide reputation about entities which act on the Web. An important research question is how such a reputation management system can be build for the Semantic Web. In this paper we contribute with a reputation management system based on distributed rule agents, which uses Semantic Web rules for implementing the reputation management fun...

We often see reputation used by regulators to enhance their regulatory leverage, specifically through the implicit threat that a discovered violation today will result in increased inspection intensity in the future. This paper uses the Harford and Harrington (1991) model as the basis to develop a regulatory game in which the regulator commits to an inspection regime based on reputation and fir...

Greif (1989, 1993) argues that reputations provide a solution to the agent problem deriving from information asymmetry when principal-agent relations are confined within a closed group. This raises an interesting question of whether or not reputations provide a solution to the lemon’s market problem (Akerlof, 1970) when the market has open boundaries. In order to address this question, we creat...

We propose a formal model for reputation-based trust management. In contrast to credential-based trust management, in our framework an agent’s reputation serves as the basis for trust. For example, an access control policy may consider the agent’s reputation when deciding whether to offer him a license for accessing a protected resource. The underlying semantic model is an event semantics inspi...