Abstract Practical description logic systems play an ever-growing role for knowledge representation and reasoning research even in distributed environments. In particular, the onto...
—This paper presents a method for learning decision theoretic models of human behaviors from video data. Our system learns relationships between the movements of a person, the co...
Web-based study resources can be viewed as a basic requirement in order to remain a competitive player on a more and more globalised educational market. For that reason it is gett...
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Successor state axioms are an optimal solution to the famous Frame Problem in reasoning about actions--but only as far as its representational aspect is concerned. We show how by g...