Many state-of-the-art heuristic planners derive their heuristic function by relaxing the planning task at hand, where the relaxation is to assume that all delete lists are empty. ...
This paper describes a new method for visualizing complex information spaces as painted images. Scientific visualization converts data into pictures that allow viewers to "se...
We present an empirical analysis of optimization techniques devised to speed up the so-called TBox classification supported by description logic systems which have to deal with ve...
Most formulations of Reinforcement Learning depend on a single reinforcement reward value to guide the search for the optimal policy solution. If observation of this reward is rar...
Previously, the plan language cc-Golog was introduced for the purpose of specifying event-driven behavior typically found in robot controllers. So far, however, cc-Golog is usable...
We propose to extend the temporal causal graph formalisms used in model-based diagnosis in order to deal with non trivial interactions like (partial) cancellation of fault effects...