: In multiple research literatures, successful collaborative problem solving and learning is analyzed in terms of success of information sharing. In this paper we report analyses o...
Daniel D. Suthers, Ravikiran Vatrapu, Richard Medi...
Planning is vital to a wide range of domains, including robotics, military strategy, logistics, itinerary generation and more, that both humans and computers find difficult. Col...
Walter S. Lasecki, Jeffrey P. Bigham, James F. All...
Abstract. Meta-S is a constraint solver cooperation system which allows the dynamic integration of arbitrary external (stand-alone) solvers and their combination with declarative l...
We present a decomposition strategy to speed up constraint optimization for a representative multiprocessor scheduling problem. In the manner of Benders decomposition, our techniq...
This paper presents a method for learning a distance metric from relative comparison such as “A is closer to B than A is to C”. Taking a Support Vector Machine (SVM) approach,...