Abstract. Human users trying to plan and accomplish informationdependent goals in highly dynamic environments with prevalent uncertainty must consult various types of information s...
Many applications in multiagent learning are essentially convex optimization problems in which agents have only limited communication and partial information about the function be...
Renato L. G. Cavalcante, Alex Rogers, Nicholas R. ...
Independent component analysis (ICA) is not only popular for blind source separation but also for unsupervised learning when the observations can be decomposed into some independe...
In previous papers we have described the basic elements for building an economic model consisting of a group of artificial traders functioning and adapting in an environment conta...
This research applies ideas from argumentation theory in the context of semantic wikis, aiming to provide support for structured-large scale argumentation between human agents. The...