This paper describes the design and implementation of a layered agent architecture for decision support applications in general and for distributed medical care in particular. Thre...
Data mining is a useful decision support technique that can be used to discover production rules in warehouses or corporate data. Data mining research has made much effort to appl...
Abstract: Functions that map boolean vectors into the integers are important for the design and verication of arithmetic circuits. MTBDDs and BMDs have been proposed for represent...
A Markov Decision Process (MDP) is a general model for solving planning problems under uncertainty. It has been extended to multiobjective MDP to address multicriteria or multiagen...
We present a formalization of dependency labeling with Integer Linear Programming. We focus on the integration of subcategorization into the decision making process, where the var...