This paper proposes a model along with a reference software architecture enabling multi-coordination between distributed and mobile software agents. Multi-coordination allows agen...
Learning in a multiagent system is a challenging problem due to two key factors. First, if other agents are simultaneously learning then the environment is no longer stationary, t...
Nowadays, workflow research has shifted from fundamentals of workflow modelling and enactment towards improvement of the workflow modelling lifecycle and integration of workflow en...
Lifelike animated agents for knowledge-based learning environments can provide timely, customized advice to support students' problem solving. Because of their strong visual ...
James C. Lester, Jennifer L. Voerman, Stuart G. To...
The application of reinforcement learning algorithms to Partially Observable Stochastic Games (POSG) is challenging since each agent does not have access to the whole state inform...
Alessandro Lazaric, Mario Quaresimale, Marcello Re...