Abstract. The translation of information between heterogeneous representations is a long standing issue. With the large spreading of cooperative applications fostered by the advent...
How an internal observer, that is not given any a priori knowledge or interpretation of what its sensors receives, learn to imitate seems a formidable issue from a viewpoint of a c...
The ability to analyse and represent formally semantic relations of terms is a core issue in information retrieval (IR), natural language processing (NLP), and in many related are...
Relativized options combine model minimization methods and a hierarchical reinforcement learning framework to derive compact reduced representations of a related family of tasks. ...
Default Logic and Logic Programming with stable model semantics are recognized as powerful frameworks for incomplete information representation. Their expressive power are suitabl...