We refine our algebraic axiomatization in [8,9] of epistemic actions and epistemic update (notions defined in [5,6] using Kripke-style semantics), to incorporate a mechanism for d...
An ultimate goal of AI is to build end-to-end systems that interpret natural language, reason over the resulting logical forms, and perform actions based on that reasoning. This r...
Due to the rapid growth of the Web, there is an increasing need for methodologies that support the design of Web-based Information Systems (WIS). After investigating the applicatio...
Flavius Frasincar, Geert-Jan Houben, Richard Vdovj...
In our research we study rational agents which learn how to choose the best conditional, partial plan in any situation. The agent uses an incomplete symbolic inference engine, emp...
We describe an application of inductive logic programming to transfer learning. Transfer learning is the use of knowledge learned in a source task to improve learning in a related ...
Lisa Torrey, Jude W. Shavlik, Trevor Walker, Richa...