Constraint programming is a technology which is now widely used to solve combinatorial problems in industrial applications. However, using it requires considerable knowledge and e...
We show that linear logic can serve as an expressive framework in which to model a rich variety of combinatorial auction mechanisms. Due to its resource-sensitive nature, linear l...
Abstract. There is currently a large interest in probabilistic logical models. A popular algorithm for approximate probabilistic inference with such models is Gibbs sampling. From ...
With the growth of wireless and mobile technologies, we are witnessing an increase in location-based services (LBS). Although LBS provide enhanced functionalities, they open up ne...
This paper proposes a novel user intention simulation method which is data-driven but can integrate diverse user discourse knowledge to simulate various types of user behaviors. A...
Sangkeun Jung, Cheongjae Lee, Kyungduk Kim, Donghy...