Probabilistic reasoning with multiply sectioned Bayesian networks (MSBNs) has been successfully applied in static domains under the cooperative multiagent paradigm. Probabilistic ...
The effects of distinct agent interaction and activation structures are compared and contrasted in several multi-agent models of social phenomena. Random graphs and lattices repre...
Behind the curtains at check-in desks in airports hide some of the most complex material handling systems, which manage to get your bag transported to the correct departure gate of...
In this paper we propose to include two up-to-date separate concepts, namely social computing and usability metrics, in intelligent interaction agents to enhance a user-centred, ad...
Classically, an approach to the multiagent policy learning supposed that the agents, via interactions and/or by using preliminary knowledge about the reward functions of all playe...