We present a framework for decision making with the possibility to express circumstance-dependent preferences among different alternatives for a decision. This new formalism, Order...
We discuss the problem of assessing and aiding user performance in dynamic tasks that require rapid selection among multiple information sources. Motivated by research in human se...
Bradley C. Love, Matt Jones, Marc T. Tomlinson, Mi...
This paper addresses the dynamic service selection and composition issues for the satisfaction of user requirements. We propose an approach in which agents perform service composi...
While massively multiplayer on-line games (MMOs) are enormously popular, their use of the client-server architecture causes them to suffer from scalability issues and high mainte...
Abstract. In this paper we compare state-of-the-art multi-agent reinforcement learning algorithms in a wide variety of games. We consider two types of algorithms: value iteration a...
H. Jaap van den Herik, Daniel Hennes, Michael Kais...