Classically, an approach to the multiagent policy learning supposed that the agents, via interactions and/or by using preliminary knowledge about the reward functions of all playe...
Recent innovations have resulted in a plethora of social applications on the Web, such as blogs, social networks, and community photo and video sharing applications. Such applicat...
In this work, we develop a hierarchical load testing architecture using large scale virtual clients to reduce the testing time and ensure the stability of the server for distribut...
Our research proposes a simple buyer/seller game that captures the incentives dictating the interaction between peers in resource trading peer-to-peer networks. We prove that for ...
— The ability to use a visualisation tool to steer large simulations provides innovative and novel usage scenarios, eg the ability to use new algorithms for the computation of fr...
Matt J. Harvey, Shantenu Jha, Mary-Ann Thyveetil, ...