This paper demonstrates qualitative spatial reasoning techniques in a real-world diagrammatic reasoning task: Course-of-Action (COA) diagrams. COA diagrams are military planning d...
Ronald W. Ferguson, Robert A. Rasch Jr., William T...
A central problem in qualitative reasoning is understanding how people reason about space and shape with diagrams. We claim that progress in diagrammatic reasoning is being slowed...
In this paper, we present PQSOLVE, a distributed theorem-prover for Quantified Boolean Formulae. First, we introduce our sequential algorithm QSOLVE, which uses new heuristics and...
Rainer Feldmann, Burkhard Monien, Stefan Schamberg...
The complexity of numerical domain partitioning depends on the number of potential cut points. In multiway partitioning this dependency is often quadratic, even exponential. There...
We consider the compilation of different reasoning tasks into the evaluation problem of quantified boolean formulas (QBFs) as an approach to develop prototype reasoning systems us...
Uwe Egly, Thomas Eiter, Hans Tompits, Stefan Woltr...
Answer-set programming (ASP) has emerged recently as a viable programming paradigm well attuned to search problems in AI, constraint satisfaction and combinatorics. Propositional ...
Self-localisation is an essential competence for mobile robot navigation. Due to the fundamental unreliability of dead reckoning, a robot must depend on its perception of external...
The bias-variance decomposition is a very useful and widely-used tool for understanding machine-learning algorithms. It was originally developed for squared loss. In recent years,...
We present a general, consistency-based framework for belief change. Informally, in revising K by , we begin with and incorporate as much of K as consistently possible. Formally, ...
Changing the way users interact with their data is the principal objective of the Listen, Communicate, Show (LCS) paradigm. LCS is a new paradigm being applied to Marine Corps tac...