We present a new method for taking advantage of the relative independence between parts of a single-player game. We describe an implementation for improving the search in a solitai...
Modeling learning agents in the context of Multi-agent Systems requires an adequate understanding of their dynamic behaviour. Usually, these agents are modeled similar to the diļ¬...
Sparse Grids are the basis for eļ¬cient high dimensional approximation and have recently been applied successfully to predictive modelling. They are spanned by a collection of si...
Developing and analyzing schedules is essential for successfully controlling the time aspect of construction projects. The critical path method of scheduling is by far the most wi...
In this paper we analyze and extend a recently developed "task-swapping procedure" for improving schedules in oversubscribed situations. In such situations, there are ta...