Learn More
In this paper, we propose a market model and learning algorithms for buying and selling agents in electronic marketplaces. We take into account the fact that multiple selling agents may offer the same good with different qualities, and that selling agents may alter the quality of their goods. We also consider the possible existence of dishonest selling(More)
In this paper, we demonstrate the value of decentralized models of sellers in electronic marketplaces, as the basis for purchasing decisions from buyers. We discuss how buying agents can model the reputation of sellers in order to make effective purchases and how these agents can also take advantage of reputation ratings provided by other buying agents in(More)
In this paper we introduce a multi-faceted trust model of use for the application of ad-hoc vehicular networks (VANETs) – scenarios where agents representing drivers exchange information with other drivers regarding road and traffic conditions. We argue that there is a need to model trust in various dimensions and that combining these elements(More)
In this paper, we propose a reputation oriented reinforcement learning algorithm for buying and selling agents in electronic market environments. We take into account the fact that multiple selling agents may offer the same good with different qualities. In our approach, buying agents learn to avoid the risk of purchasing low quality goods and to maximize(More)
In this paper, we present a framework for enabling agents in multiagent systems to engender trust from the other agents in the environment. Opposite to the aims of most existing trust modelling research, our algorithms serve to guide the actions of trustees (instead of trustors). Our approach requires trustees to predict the types of the trustors, modifying(More)
—An increasingly large number of cars are being equipped with global positioning system and Wi-Fi devices, enabling vehicle-to-vehicle (V2V) communication with the goal of providing increased passenger and road safety. This technology actuates the need for agents that assist users by intelligently processing the received information. Some of these agents(More)