In this paper, we tackle learning in distributed systems and the fact that learning does not necessarily involve the participation of agents directly in the inductive process itse...
We contribute an approach for interactive policy learning through expert demonstration that allows an agent to actively request and effectively represent demonstration examples. I...
A team-based competitive environment is a complex multiagent environment, in which agents are required to coordinate with each other not only to enhance their collective behavior,...
In order for an autonomous agent to behave robustly in a variety of environments, it must have the ability to learn approximations to many different functions. The function approx...
The Semantic Web is a “living organism”, which combines autonomously evolving data sources/knowledge repositories. This dynamic character of the Semantic Web requires (declarat...