In this paper we propose a Bayesian framework for XCS [9], called BXCS. Following [4], we use probability distributions to represent the uncertainty over the classifier estimates ...
Davide Aliprandi, Alex Mancastroppa, Matteo Matteu...
This paper presents FearNot, a virtual learning environment populated by synthetic characters interacting in bullying scenarios, aimed at 8-12 year old children. FearNot was design...
The use of the Plan Recognition/Plan Generation paradigm in the context of corporate training is discussed. The learning environment is grounded on three-level conceptual schemas ...
Three key components of an autonomous intelligent system are planning, execution, and learning. This paper describes how the Soar architecture supports planning, execution, and le...
Due to its importance as a model for several software and hardware applications, automata theory is a core topic in computer science and engineering education. But because of its m...