2010 - Fellow of the Royal Academy of Engineering (UK)
2002 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For significant contributions to the theory and practice of inductive logic programming, especially applied to the discovery of new biomolecular theories from observational data.
Inductive Logic Programming : Theory and Methods
Stephen Muggleton;Luc de Raedt.
Journal of Logic Programming (1994)
Inverse entailment and PROGOL
New Generation Computing (1995)
Efficient Induction of Logic Programs
S. Muggleton;C. Feng.
algorithmic learning theory (1990)
Machine invention of first order predicates by inverting resolution
Stephen Muggleton;Wray L. Buntine.
international conference on machine learning (1988)
Functional genomic hypothesis generation and experimentation by a robot scientist
Ross D. King;Kenneth E. Whelan;Ffion M. Jones;Philip G. K. Reiser.
Theories for mutagenicity: a study in first-order and feature-based induction
Ashwin Srinivasan;S. H. Muggleton;M. J. E. Sternberg;R. D. King.
Artificial Intelligence (1996)
Drug design by machine learning: the use of inductive logic programming to model the structure-activity relationships of trimethoprim analogues binding to dihydrofolate reductase.
Ross D. King;Stephen Muggleton;Richard A. Lewis;Michael J. E. Sternberg.
Proceedings of the National Academy of Sciences of the United States of America (1992)
Protein secondary structure prediction using logic-based machine learning
S. Muggleton;R.D. King;M.J.E. Sternberg.
Protein Engineering (1992)
Structure-activity relationships derived by machine learning: the use of atoms and their bond connectivities to predict mutagenicity by inductive logic programming.
Ross D. King;Stephen H. Muggleton;Ashwin Srinivasan;Michael J. E. Sternberg.
Proceedings of the National Academy of Sciences of the United States of America (1996)
Learning from Positive Data
inductive logic programming (1996)
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