Most work on Predictive Representations of State (PSRs) has focused on learning and planning in unstructured domains (for example, those represented by flat POMDPs). This paper e...
David Wingate, Vishal Soni, Britton Wolfe, Satinde...
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...
Abstract. According to Dynamic Logic Programming (DLP), knowledge may be given by a sequence of theories (encoded as logic programs) representing different states of knowledge. Th...
We propose a mixture of multiple linear models, also known as hybrid linear model, for a sparse representation of an image. This is a generalization of the conventional KarhunenLo...
This paper introduces an approach to representing the kinds of information that components in a natural language generation (NLG) system will need to communicate to one another. T...
Chris Mellish, Roger Evans, Lynne J. Cahill, Chris...