We present a new formulation of distributed task assignment, called Generalized Mutual Assignment Problem (GMAP), which is derived from an NP-hard combinatorial optimization probl...
Reinforcement learning can provide a robust and natural means for agents to learn how to coordinate their action choices in multiagent systems. We examine some of the factors that...
This paper investigates the foundation of rnaxipnin, one of the central qualitative decision criteria, using the approach taken by Savage (Savage 1972) to investigate the foundati...
Use of game-theoretic models to address patrolling applications has gained increasing interest in the very last years. The patrolling agent is considered playing a game against an...
The environment has been recognized as an explicit and exploitable element to design Multi-Agent Systems (MAS). It can be assigned a number of responsibilities that would be more d...
Eric Platon, Marco Mamei, Nicolas Sabouret, Shinic...