Multiagent learning attracts much attention in the past few years as it poses very challenging problems. Reinforcement Learning is an appealing solution to the problems that arise...
Ioannis Partalas, Ioannis Feneris, Ioannis P. Vlah...
Abstract. In this paper, we apply a theoretical swarm-generating technique to a system implementing cluster-based construction. The technique, known as swarm engineering consists o...
Lihan Lai, Jeff Manning, Jeannie Su, Sanza T. Kaza...
: In this paper we propose the use of an argument-based model – ProCLAIM – that has the potential to minimize ecological impact of industrial wastewater discharges into water b...
The cooperation knowledge level is a new computer level specifically for multi-agent problem solvers which describes rich and explicit models of common social phenomena. A cooperat...
The project MediaFlies implements an interactive multiagent system that incorporates flocking and synchronization in order to generate a constantly changing visual output. It reli...