Abstract. This paper surveys the state-of-the-art in developing multi-agent systems, and sets out to answer the questions: "what are the key current issues in developing multi...
Rafael H. Bordini, Mehdi Dastani, Michael Winikoff
In this paper, we look at the Multi-Agent Meeting Scheduling problem where distributed agents negotiate meeting times on behalf of their users. While many negotiation approaches ha...
A key lesson learned from economic and game theory research is that negotiation protocols have substantial, rippling effects on the overall nature of the system. online auctions a...
In many Multi-Agent Systems (MAS), agents (even if selfinterested) need to cooperate in order to maximize their own utilities. Most of the multi-agent learning algorithms focus on...
Jose Enrique Munoz de Cote, Alessandro Lazaric, Ma...
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...