Large systems of agents deployed in a real-world environment face threats to their problem solving performance that are independent of the complexity of the problem or the charact...
This paper describes a multi-agent system, GraniteNights, modelled on the Agentcities project “evening agent” scenario. GraniteNights allows a user to plan an evening’s enter...
Gunnar Aastrand Grimnes, Stuart Chalmers, Peter Ed...
Abstract. In multi-agent reinforcement learning systems, it is important to share a reward among all agents. We focus on the Rationality Theorem of Profit Sharing [5] and analyze ...
We are designing a computational architecture for a "learning economy" based on personal software agents who represent users in a virtual society and assist them in find...
In this paper, we describe a computer-supported cooperative learning system in education and the results of its deployment. The system, called I-MINDS, consists of a set of teache...