A major challenge for traditional approaches to multiagent learning is to train teams that easily scale to include additional agents. The problem is that such approaches typically...
David B. D'Ambrosio, Joel Lehman, Sebastian Risi, ...
Many governmental organizations nowadays are setting up e-government initiatives to improve the delivery of services to citizens. Often, these initiatives require information exch...
This paper presents in-formation flocking, a novel information visualization technique that extends the original information flocking concept with dynamic and data-driven visual fo...
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...
The purpose of this paper is to introduce a dialectical theory for plan synthesis based on a multi-agent approach. This approach is a promising way to devise systems based on agent...