Linear constraints occur naturally in many reasoning problems and the information that they represent is often uncertain. There is a difficulty in applying AI uncertainty formalis...
Context-sensitivity has been for long a subject of study in linguistics, logic and computer science. Recently the problem of representing and reasoning with contextual knowledge ha...
Building on earlier attempts to characterise robot perception as a form of abduction, this paper presents a logical account of active visual perception in the context of an upper-...
Keyword-based search returns its results without concern for the information needs of users at a particular time. In general, search queries are too short to represent what users ...
A model is defined that predicts an agent's ascriptions of causality (and related notions of facilitation and justification) between two events in a chain, based on background...