Reinforcement learning is a popular and successful framework for many agent-related problems because only limited environmental feedback is necessary for learning. While many algo...
Abstract. The Semantic Web promises increased precision in automated information sorting, searching, organizing and summarizing. Realizing this requires significantly more reliabl...
The brain has long been seen as a powerful analogy from which novel computational techniques could be devised. However, most artificial neural network approaches have ignored the...
Gul Muhammad Khan, Julian F. Miller, David M. Hall...
d abstract)1 Niek Bergboer Eric Postma Jaap van den Herik Institute for Knowledge and Agent Technology, Universiteit Maastricht, P.O. Box 616, 6200 MD Maastricht It is well known t...
Niek Bergboer, Eric O. Postma, H. Jaap van den Her...
In this paper we describe IPSS (Integrated Planning and Scheduling System), a domain independent solver that integrates an AI heuristic planner, that synthesizes courses of actions...