Markov Decision Processes (MDPs), currently a popular method for modeling and solving decision theoretic planning problems, are limited by the Markovian assumption: rewards and dy...
CNF-BCP is a well-known propositional reasoner that extends clausal Boolean Constraint Propagation (BCP) to non-clausal theories. Although BCP has efficient linear-time implementa...
We present Episodic Logic (EL), a highly expressive knowledge representation well-adapted to general commonsense reasoning as well as the interpretive and inferential needs of nat...
Formalizing the ontological commitment of a logical language means offering a way to specify the intended meaning of its vocabulary by constraining the set of its models, giving e...
This paper discusses the important issue of knowledge base comprehensibility and describes a technique for comprehensibility improvement. Comprehensibility is often measured by si...
Atsushi Sugiura, Maximilian Riesenhuber, Yoshiyuki...