Stephen Muggleton 2010
|Born||6 December 1959|
|Institutions||Imperial College London,
University of Oxford,
University of York
|Alma mater||University of Edinburgh|
|Thesis||Inductive acquisition of expert knowledge (1987)|
|Doctoral advisor||Donald Michie|
|Known for||Inductive logic programming|
|Notable awards||Fellow of the Royal Academy of Engineering|
Muggleton received his Bachelor of Science in Computer Science (1982) and Doctor of Philosophy in Artificial Intelligence (1986) where he was supervised by Donald Michie from the University of Edinburgh. He went on to work as a post-doctoral research at The Turing Institute in Glasgow (1987–1991) and later an EPSRC Advanced Research Fellow at Oxford University Computing Laboratory (1992–1997).
Muggleton's research interests are primarily in Artificial intelligence. From 1997–2001 he held the Chair of Machine Learning at the University of York and from 2001–2006 the EPSRC Chair of Computational Bioinformatics at Imperial College in London. Since 2007 he holds the Royal Academy of Engineering Research Chair as well as the post of Director of Modelling for the Imperial College Centre for Integrated Systems Biology. He is known for founding the field of Inductive logic programming. In this field he has made contributions to theory introducing predicate invention, inverse entailment and stochastic logic programs. He has also played a role in systems development where he was instrumental in the systems Duce, Golem and Progol and applications — especially biological prediction tasks.
- http://www.raeng.org.uk/about/fellowship/fellowslist.htm List of Fellows of the Royal Academy of Engineering
- http://www.raeng.org.uk/research/researcher/chairs/currentapp.htm Research Chairs: Current and Recently Completed at the Royal Academy of Engineering
- "Professor Stephen H. Muggleton". Academic staff list. Imperial College. Retrieved 8 August 2010.
- List of publications from Microsoft Academic Search
- List of publications from the DBLP Bibliography Server
- "Prof Stephen Muggleton". The Royal Institution of Great Britain. Retrieved 8 August 2010.
- Muggleton, S.; De Raedt, L. (1994). "Inductive Logic Programming: Theory and methods". The Journal of Logic Programming. 19-20: 629–679. doi:10.1016/0743-1066(94)90035-3.
- Muggleton, S. (1991). "Inductive logic programming". New Generation Computing 8 (4): 295–318. doi:10.1007/BF03037089.
- Muggleton, S. (1995). "Inverse entailment and progol". New Generation Computing 13 (3–4): 245–286. doi:10.1007/BF03037227.
- Muggleton, S.; Page, D.; Srinivasan, A. (1997). "An initial experiment into stereochemistry-based drug design using inductive logic programming". Inductive Logic Programming. Lecture Notes in Computer Science 1314. p. 23. doi:10.1007/3-540-63494-0_46. ISBN 978-3-540-63494-2.
- "Golem". AI Japanese Institute for Science. Retrieved 8 August 2010.
- Michalski, R.; Tecuci, G. (1994). Machine learning: a multistrategy approach (Book). Morgan Kaufmann. p. 780. ISBN 0-934613-09-5. Retrieved 8 August 2010.
- King, R. D.; Whelan, K. E.; Jones, F. M.; Reiser, P. G. K.; Bryant, C. H.; Muggleton, S. H.; Kell, D. B.; Oliver, S. G. (2004). "Functional genomic hypothesis generation and experimentation by a robot scientist". Nature 427 (6971): 247–252. doi:10.1038/nature02236. PMID 14724639.
- "What computing can teach biology, and vice versa" (Subscription magazine). The Economist. 12 July 2007. Retrieved 8 August 2010.
- Grants awarded to Stephen Muggleton by the Engineering and Physical Sciences Research Council
- Stephen Muggleton publications on DBLP