Many multiagent problems comprise subtasks which can be considered as reinforcement learning (RL) problems. In addition to classical temporal difference methods, evolutionary algo...
Jan Hendrik Metzen, Mark Edgington, Yohannes Kassa...
Developing interaction rules/protocols among multiple agents is one of the central research topics in multi-agent systems. For cooperative agents, we need to develop protocols so ...
According to the taxonomy for agent activity, proposed by V. Parunak, a collaboration is an interaction between agents of a multi-agent system (MAS) whereby the agents explicitly ...
Recommender systems (RSs) are popular tools dealing with information overload problems in eCommerce Web sites. RSs match user preferences with item representations and recommend t...
Fabiana Lorenzi, Francesco Ricci, Mara Abel, Ana L...
We consider the problem of how to design large decentralized multiagent systems (MAS’s) in an automated fashion, with little or no hand-tuning. Our approach has each agent run a...