This paper discusses the implementation using mobile agent and the performance of the market computing to allocate network quality of service most efficiently, based on users'...
The aim of this paper is to enhance the performance of a reinforcement learning game agent controller, within a dynamic game environment, through the retention of learned informati...
Abstract— Situated agents engaged in open systems continually face with external events requiring adequate services and behavioral responses. In these conditions agents should be...
SkeletonAgent is an agent framework whose main feature is to integrate different artificial intelligent skills, like planning or learning, to obtain new behaviours in a multi-agen...
Software agents that play a role in E-commerce and E-government applications involving the Internet often contain information about the identity of their human user such as credit ...
Frances M. T. Brazier, Anja Oskamp, Corien Prins, ...