AI group publications
The following recent publications are representative of the type of research we do in the AI group:
- Feature Reinforcement Learning: Part I: Unstructured MDPs, Marcus Hutter, Journal of Artificial General Intelligence, 2009 200kb PDF.
- Universal Artificial Intelligence: Sequential Decisions based on Algorithmic Probability, Marcus Hutter, EATCS, Springer, Berlin, 2005.
- Surrogate Regret Bounds for Proper Losses, Mark Reid and Robert Williamson, In the Proceedings of the 26th International Conference on Machine Learning, 2009 200kb PDF.
- A fixed-parameter tractable algorithm for spatio-temporal calendar management, Bernhard Nebel and Jochen Renz, In the Proceedings of the 21st International Joint Conference on Artificial Intelligence, 2009 100kb PDF.
- Automated Complexity Proofs for Qualitative Spatial and Temporal Calculi, Jochen Renz and Jason Jingshi Li, In the Proceedings of the 11th International Conference on Principles of Knowledge Representation and Reasoning, 2008 450kb PDF.
- Qualitative Spatial Representation and Reasoning, Anthony G. Cohn and Jochen Renz, Handbook of Knowledge Representation, Elsevier, 2008 350kb PDF.
- On universal transfer learning, M.M.H. Mahmud, Theoretical Computer Science, Volume 410, Issue 19, pp. 1826-1846, 2009.
- Directed Unfolding of Petri Nets, Blai Bonet, Patrik Haslum, Sarah Hickmott, and Sylvie Thiebaux, In Transactions on Petri Nets and Other Models of Concurrency I, LNCS vol. 5100, 2008. DOI: 10.1007/978-3-540-89287-8_11.
- Probabilistic Modelling, Inference and Learning using Logical Theories, K.S. Ng, J.W. Lloyd, W.T.B. Uther, Annals of Mathematics and Artificial Intelligence, 54, 159-205, 2008. 1.7MB PDF.
- Logic for Learning: Learning Comprehensible Theories from Structured Data, J.W. Lloyd, Cognitive Technologies Series, Springer, 2003.
