In this paper we introduce a new research effort in making state machines executable. The aim is to specify and implement an execution engine for a language that is as close as po...
This paper investigates the use of genetic programming in automatized synthesis of scheduling heuristics. The applied scheduling technique is priority scheduling, where the next st...
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
In this paper, we present an approach to extract scenes in video. The approach is top-down and uses video editing rules and audio cues to extract simple dialog and action scenes. ...
This article introduces the entity-life modeling (ELM) design approach for multithread software. The article focuses on problems that can be described by state machines with assoc...