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AI Group @ ANU
The Artificial Intelligence Group is interested in all aspects of Artificial Intelligence (learning, reasoning, planning, etc.). However, we focus on two major, interrelated themes:
- To contribute to the understanding of the fundamental principles underlying AI; and
- To turn AI into an Engineering discipline
Job Openings
We currently have a job opening for two research-intensive positions at academic levels B or C. Please see here for further details. Closing date is 14 February 2010.
Organisation
The AI Group is part of the
School of Computer Science and the
Research School of Information Sciences and Engineering in the
ANU College of Engineering and Computer Science at the
Australian National University. Several of the AI Group members are also affiliated with the
NICTA, Canberra Research Laboratory, and vice versa.
AI Group Academic Staff
The following people comprise the AI Group's main academic staff. For a complete list of staff and post-graduate students, please see the
People page.
ANU staff
- Patrik Haslum,
Research Fellow
- Marcus Hutter,
Associate Professor
- John Lloyd, Professor
- Hassan Mahmud,
Research Fellow
- Mark Reid,
Research Fellow
- Jochen Renz,
Associate Professor - Acting Group Head (Jan-Nov 2010)
- Peter Sunehag,
Research Fellow
- Sylvie Thiebaux,
Associate Professor, NICTA Canberra Laboratory Director
- Bob Williamson,
Professor, NICTA Scientific Director - Group Head (on leave Jan-Nov 2010)
NICTA staff
- Marconi Barbosa,
Adjunct Research Fellow
- Adi Botea,
Adjunct Fellow
- Wray Buntine,
Adjunct Associate Professor
- Tiberio Caetano,
Adjunct Fellow, NICTA Research Group Manager
- Alban Grastien,
Adjunct Research Fellow
- Jinbo Huang,
Adjunct Fellow
- Philip Kilby,
Adjunct Associate Professor
- Jussi Rintanen,
Adjunct Associate Professor
- Scott Sanner,
Adjunct Research Fellow
Prospective PhD Students
We are always looking for good PhD candidates with an interest in Artificial Intelligence.
Possible backgrounds are an honour's or master's degree in physics, mathematics, computer sciences, or related field.
Application forms are available online from the Australian National University. Please have a look at the ANU and NICTA Education pages for further details. It is an advantage for applicants to contact potential supervisors before submitting the form.
The PhD will be awarded by the Australian National University, with NICTA possibly paying a top-up scholarship.
The PhD program is 3-4 years.
Note that scholarships for non-residents of Australia or New Zealand are very difficult to get, and you would typically need a couple of relevant and high quality publications in the area already, or excellent results from a top university Masters degree.
Possible Student Projects
Here is a selection of possible student projects we offer. Please contact the academic for further details regarding the project.
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 [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 [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 [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 [PDF].
- Qualitative Spatial Representation and Reasoning, Anthony G. Cohn and Jochen Renz, Handbook of Knowledge Representation, Elsevier, 2008 [PDF].
- On universal transfer learning, M.M.H. Mahmud, Theoretical Computer Science, Volume 410,
Issue 19, pp. 1826-1846, 2009.
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Directed Unfolding of Petri Nets, Blai Bonet, Patrik Haslum, Sarah Hickmott, and Sylvie Thiébaux, 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. [PDF].
- Logic for Learning: Learning Comprehensible Theories from Structured Data, J.W. Lloyd, Cognitive Technologies Series, Springer, 2003.
News
- 27 Aug 2009: The AI Group has a new home page.
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