Probabilistic inference in graphical models is a prevalent task in statistics and artificial intelligence. The ability to perform this inference task efficiently is critical in l...
The paper develops a generic framework for analyzing knowledge management in formal decision groups and applies it to council work. Requirements are deduced for a sociotechnical s...
Proposals for logic-based argumentation have the potential to be adapted for handling diverse kinds of knowledge. In this paper, a calculus for representing temporal knowledge is p...
The collection and sharing of results from usability laboratories around the world has not yet made good use of emerging models of Internetbased knowledge sharing technologies. Thi...
Rough Petri nets model (RPNM) for knowledge representation, rule generation, and reasoning is presented in this paper. An algorithm for verifying the consistency of a rough knowle...