Reinforcement learning can provide a robust and natural means for agents to learn how to coordinate their action choices in multiagent systems. We examine some of the factors that...
This paper presents a generic meta-model of multi-agent systems based on organizational concepts such as groups, roles and structures. This model, called AALAADIN, defines a very ...
We present our experiences using the RoboCup soccerserver simulator and Biter, our own agent platform, for the teaching of a graduate multiagent systems' class. The RoboCup s...
Abstract. The field of Software Product Lines (SPL) emphasizes building a family of software products from which concrete products can be derived rapidly. This helps to reduce time...
The ability to respond sensibly to changing and conflicting beliefs is an integral part of intelligent agency. To this end, we outline the design and implementation of a Distribute...
Benedita Malheiro, Nicholas R. Jennings, Eugenio O...