Multi agent learning systems pose an interesting set of problems: in large environments agents may develop localised behaviour patterns that are not necessarily optimal; in a pure...
Many real-world tasks can be decomposed into pipelines of sequential operations (where subtasks may themselves be composed of one or more pipelines). JGram is a framework enabling...
Rahul Sukthankar, Antoine Brusseau, Ray Pelletier,...
We describe a framework that can be used to model and predict the behavior of MASs with learning agents. It uses a difference equation for calculating the progression of an agent&...
Fault tolerance is an important property of large-scale multiagent systems as the failure rate grows with both the number of the hosts and deployed agents, and the duration of com...
Systems often exhibit hierarchical structures and multiple levels of abstraction, and MultiAgent Systems, even if they have proved their adequacy to model such systems, mains in t...
Sebastian Rodriguez, Nicolas Gaud, Vincent Hilaire...