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...
We study two properties of coalition formation algorithms, very important for their application in real-life scenarios: robustness and tolerance to some agent misbehaviors. The st...
The main advantage of distributed controlled robots and subsystems is the decentralized task execution by the system components. This way, properties for the design of flexible co...
From a system's perspective as opposed to an individual agent perspective, MAS adaptation is now becoming an important topic, since it can help to obtain expected outcomes ...
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 ...