In this paper, we use multiagent technology for social simulation of sociological micro-macro issues in the domain of electronic marketplaces. We argue that allowing self-interested agents to enable social reputation as a mechanism for flexible self-regulation during runtime can improve the robustness and 'social order' of multiagent systems to cope with various perturbations that arise when si...

Reasoning about agent preferences on a set of alternatives, and the aggregation of such preferences into some social ranking is a fundamental issue in reasoning about uncertainty and multi-agent systems. When the set of agents and the set of alternatives coincide, we get the so-called reputation systems setting. Famous types of reputation systems include page ranking in the context of search en...

This paper argues that trust and reputation models should take into account not only direct experiences (local trust) and experiences from the circle of ”friends”, but also be attack resilient by design in the presence of dishonest feedbacks and sparse network connectivity. We first revisit EigenTrust, one of the most popular reputation systems to date, and identify the inherent vulnerabilities...

The growing complexity of current computer systems requires a high amount of administration, which poses an increasingly challenging task for manual administration. The Autonomic and Organic Computing Initiatives have introduced so called self-x properties, including self-configuration, self-optimization, self-healing, and self-protection, to allow administration to become autonomous. Although ...

The problem of identifying influencers in an online social network (OSN) has received a lot of attention recently. However, the influence a user has on an OSN depends a lot on how active they are, besides their reputation, or the quality of information they are capable of providing. This can be misleading: a common observation about many OSNs is that the most influential users there are not wel...

Ad hoc network, 15 Adjusting the trustworthiness of opinions, 252–256 Advanced reputation ontology, 227–228 Agent-based system, 45, 342 Agent concepts, 72, 73 Agent interaction, 7 Agent properties, 312 Agent reputation ontology, 221, 244 Agent trust database, 102–104 Agent trust ontology, 65, 76–84 Agents, 7–10 endogenous factors, 121 exogenous factors, 121, 122 malicious, 203 trustworthy, 190 ...

While web applications provide enormous opportunities, they also present potential threats and risks due to a lack of trust among users. Reputation systems provide a promising way for building trust through social control by harnessing the community feedback in the form of feedback. However, reputation systems also introduce vulnerabilities due to potential manipulations by dishonest or malicio...

A seller in an online marketplace with an effective reputation mechanism should expect that dishonest behavior results in higher payments now, while honest behavior results in higher reputation—and thus higher payments—in the future. We study the Window Aggregation Mechanism, a widely used class of mechanisms that shows the average value of the seller’s ratings within some fixed window of past ...