We propose to return to the roots of Artificial/Computational Intelligence applicability to board games domain by attempting to mimic human way of playing (or human intelligence ...
Abstract- We present a method that enhances evolutionary behavior testing of commercial computer games, as introduced in [CD+04], to deal with parameterized actions. The basic idea...
Abstract. We propose an approach to scenario-based analysis and synthesis of real-time embedded systems. The inter-process behaviors of a system are modeled as a set of driving uni...
Kim Guldstrand Larsen, Shuhao Li, Brian Nielsen, S...
Real-Time Strategy games present an interesting problem domain for Artificial Intelligence research. We review current approaches to developing AI systems for such games, noting th...
We develop a framework for the image segmentation problem based on a new graph-theoretic formulation of clustering. The approach is motivated by the analogies between the intuitiv...