An original Reinforcement Learning (RL) methodology is proposed for the design of multi-agent systems. In the realistic setting of situated agents with local perception, the task o...
Achieving effective cooperation in a multi-agent system is a difficult problem for a number of reasons such as limited and possiblyout-datedviews of activitiesof other agents and ...
Abstract--While a number of modeling languages for constructing multiagent systems (MASs) have been suggested, none of them is widely accepted and used. A prominent reason for this...
Existing middleware platforms for multi-agent systems (MAS) do not provide general support for observation. On the other hand, observation is considered to be an important mechani...
Joonas Kesaniemi, Artem Katasonov, Vagan Y. Terziy...
In Service-Oriented MAS middle-agents provide different kinds of matchmaking functionalities. If no adequate services are available for a specific request, a planning functionalit...