We investigate the problem of learning action effects in partially observable STRIPS planning domains. Our approach is based on a voted kernel perceptron learning model, where act...
Increased market dynamics, shorter product lifecycles and a higher customer involvement in product design have caused great changes to competitive conditions and many companies ar...
Thomas Knothe, Timo Kahl, Dieter Boell, Kristof Sc...
We introduce a new framework for the study of reasoning. The Learning (in order) to Reason approach developed here views learning as an integral part of the inference process, and ...
Multicore architectures featuring specialized accelerators are getting an increasing amount of attention, and this success will probably influence the design of future High Perfor...
Background: An adequate and expressive ontological representation of biological organisms and their parts requires formal reasoning mechanisms for their relations of physical aggr...