In this paper, we describe a rule-based message passing method to support developing collaborative applications, in which multiple users share resources in distributed environments...
In this paper we present novel algorithmic solutions for several resource processing and data transfer multicriteria optimization problems. The results of most of the presented tec...
This paper extends the link between evolutionary game theory and multi-agent reinforcement learning to multistate games. In previous work, we introduced piecewise replicator dynam...
The use of rational agents for modelling real world problems has both been heavily investigated and become well accepted, with BDI Logic being a widely used architecture to repres...
Jeff Blee, David Billington, Guido Governatori, Ab...
Abstract. HeCaSe2 is a multi-agent system that intends to help doctors to apply clinical guidelines to their patients in a semi-automatic fashion. HeCaSe2 agents need a lot of (sca...