While type causality helps us to understand general relationships such as the etiology of a disease (smoking causing lung cancer), token causality aims to explain causal connectio...
This paper continues the line of research on representing actions, on the automation of commonsense reasoning and on planning that deals with causal theories and with action langua...
Many events in the world occur with some quantity that shows a level of the occurrence. This paper discusses reasoning with the normalized level of the occurrence, which we call i...
P-log is a probabilistic logic programming language, which combines both logic programming style knowledge representation and probabilistic reasoning. In earlier papers various ad...
1 Quickly detecting an unexpected pathogen can save many lives. In cases of bioterrorism or naturally occurring epidemics, accurate diagnoses may not be made until much of the popu...