Abstract. We propose a unifying framework for polyhedral approximation in convex optimization. It subsumes classical methods, such as cutting plane and simplicial decomposition, bu...
In previous work, we proposed a Hoare Type Theory (HTT) which combines effectful higher-order functions, dependent types and Hoare Logic specifications into a unified framework. H...
Aleksandar Nanevski, Greg Morrisett, Lars Birkedal
Reacting to challenges that have been observed in humancomputer interaction (HCI) education, as well as the multidisciplinary design, science, and engineering underpinnings, we in...
D. Scott McCrickard, Christa M. Chewar, Jacob P. S...
This paper takes an overtly anticipatory stance to the understanding of animat learning and behavior. It analyses four major animal learning theories and attempts to identify the a...
We define logic programs with defaults and argumentation theories, a new framework that unifies most of the earlier proposals for defeasible reasoning in logic programming. We pres...
Hui Wan, Benjamin N. Grosof, Michael Kifer, Paul F...