Most research in learning for planning has concentrated on efficiency gains. Another important goal is improving the quality of final plans. Learning to improve plan quality has b...
M-tree is a dynamic access method suitable to index generic “metric spaces”, where the function used to compute the distance between any two objects satisfies the positivity, ...
Paolo Ciaccia, Marco Patella, Fausto Rabitti, Pave...
In this paper we study the problem of entity retrieval for news applications and the importance of the news trail history (i.e. past related articles) to determine the relevant en...
Gianluca Demartini, Malik Muhammad Saad Missen, Ro...
This paper investigates decision-theoretic planning in sophisticated autonomous agents operating in environments of real-world complexity. An example might be a planetary rover ex...
Abstract. Approximate Petri nets (AP-nets) can be used for the knowledge representation and approximate reasoning. The AP-net model is defined on the basis of the rough set approa...