Stephen Muggleton

Stephen Muggleton

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Born December 6, 1959 (1959-12-06) (age 52)
Institutions Imperial College London, University of Oxford, University of York
Alma mater University of Edinburgh
Known for Inductive logic programming
Notable awards FREng[1]

Professor Stephen Muggleton FBCS, FIET, FAAAI[2], FREng[3] (born December 6, 1959) is Head of the Computational Bioinformatics Laboratory at Imperial College London.[4] He received his BSc in Computer Science (1982) and PhD 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).

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[5] as well as the post of Director of Modelling for the Imperial College Centre for Integrated Systems Biology.[5] He is known for founding the field of Inductive logic programming.[6][7][8][9] 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[10][11] and applications — especially biological prediction tasks.

He and Stephen Emmott are currently (as of 2007) working on a robot scientist[12] that would be capable of combining inductive logic with probabilistic reasoning.[13]

References

  1. ^ http://www.raeng.org.uk/about/fellowship/fellowslist.htm List of Fellows of the Royal Academy of Engineering
  2. ^ http://www.aaai.org/Awards/fellows-list.php
  3. ^ http://www.raeng.org.uk/research/researcher/chairs/currentapp.htm Research Chairs: Current and Recently Completed at the Royal Academy of Engineering
  4. ^ "Professor Stephen H. Muggleton". Academic staff list. Imperial College. http://www.doc.ic.ac.uk/~shm/. Retrieved 8 August 2010. 
  5. ^ a b "Prof Stephen Muggleton". The Royal Institution of Great Britain. http://www.rigb.org/contentControl?action=displayContent&id=00000001594. Retrieved 8 August 2010. 
  6. ^ Muggleton, S. (1994). "Inductive Logic Programming: Theory and methods". The Journal of Logic Programming 19-20: 629–679. doi:10.1016/0743-1066(94)90035-3.  edit
  7. ^ Muggleton, S. (1991). "Inductive logic programming". New Generation Computing 8 (4): 295–318. doi:10.1007/BF03037089.  edit
  8. ^ Muggleton, S. (1995). "Inverse entailment and progol". New Generation Computing 13 (3–4): 245–286. doi:10.1007/BF03037227.  edit
  9. ^ Muggleton, Stephen; Page, D. Srinivasan, A. (August 1996). "2". In Stephen Muggleton (in English) (Paper). An initial experiment into stereochemistry-based drug design using Inductive Logic Programming. Springer-Verlag. p. 25. ISBN 3-540-63494-0. http://books.google.co.uk/books?id=ASmQ9zutfJEC&printsec=frontcover&dq=Stephen+Muggleton+Inductive+Logic+Programming&source=bl&ots=BW4S1Xs6ck&sig=e2cjq0HTbsOFyac53wDiaowfCFs&hl=en&ei=WBReTLObG5L80wTHseXABw&sa=X&oi=book_result&ct=result&resnum=1&ved=0CB0Q6AEwAA#v=onepage&q&f=false. Retrieved 8 August 2010. 
  10. ^ "Golem". AI Japanese Institute for Science. http://www-ai.ijs.si/~ilpnet2/systems/golem.html. Retrieved 8 August 2010. 
  11. ^ (in English) (Book) Machine learning: a multistrategy approach. Morgan Kaufmann. 1994. pp. 780. ISBN 0-934613-09-5. http://books.google.co.uk/books?id=sQJ1PMEOOY0C&pg=PA259&lpg=PA259&dq=Muggleton+and+Feng+1992&source=bl&ots=4GWDLDbh4J&sig=guEOmNsO5CirGC_83YHzU3f_TVs&hl=en&ei=VBpeTLK7H4v40wSBxqnFBw&sa=X&oi=book_result&ct=result&resnum=1&ved=0CBgQ6AEwAA#v=onepage&q=Muggleton%20and%20Feng%201992&f=false. Retrieved 8 August 2010. 
  12. ^ 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.  edit
  13. ^ "What computing can teach biology, and vice versa" (Subscription magazine). The Economist. 12. http://www.economist.com/science/PrinterFriendly.cfm?story_id=9468793. Retrieved 8 August 2010. 

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