One of the key problems in the study of multi agent systems in which the agents exhibit continuous behavior is the automatic recognition and analysis of intentional activities bas...
— Static resources allocation problems have been widely studied. More recently some of this attention has changed to focus on dynamic problems, where problem specifications, con...
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...
: This paper analyses aspects about the recommendation process in distributed information systems. It extracts similarities and differences between recommendations in estores and t...
Both explanation-based and inductive learning techniques have proven successful in a variety of distributed domains. However, learning in multi-agent systems does not necessarily ...