ILPnet2 library: S.H. Muggleton

ILP publications by S.H. Muggleton

This is a list of all publications in the ILPnet2 on-line library which are (co-)authored by S.H. Muggleton. The title of the article is a link to the full reference, including -- if provided by the author -- abstract and URL. It also allows easy access to related publications.

2003

A. Puech and S. Muggleton. A Comparison of Stochastic Logic Programs and Bayesian Logic Programs. In T. Horváth and A. Yamamoto, editors, Proceedings of the Work-in-Progress Track at the 13th International Conference on Inductive Logic Programming, pages 69--78. Department of Informatics, University of Szeged, September 2003.
S. Colton and S. Muggleton. ILP for Mathematical Discovery. In T. Horváth and A. Yamamoto, editors, Proceedings of the 13th International Conference on Inductive Logic Programming, volume 2835 of Lecture Notes in Artificial Intelligence, pages 93--111. Springer-Verlag, 2003.
S. Muggleton, A. Tamaddoni-Nezhad, and H. Watanabe. Induction of Enzyme Classes from Biological Databases. In T. Horváth and A. Yamamoto, editors, Proceedings of the 13th International Conference on Inductive Logic Programming, volume 2835 of Lecture Notes in Artificial Intelligence, pages 269--280. Springer-Verlag, 2003.

2002

S. Muggleton. Learning structure and parameters of Stochastic Logic Programs. In S. Matwin and C. Sammut, editors, Proceedings of the 12th International Conference on Inductive Logic Programming, volume 2583 of Lecture Notes in Artificial Intelligence, pages 198--206. Springer-Verlag, 2003.
A. Tamaddoni-Nezhad and S. Muggleton. A Genetic Algorithms Approach to ILP. In S. Matwin and C. Sammut, editors, Proceedings of the 12th International Conference on Inductive Logic Programming, volume 2583 of Lecture Notes in Artificial Intelligence, pages 285--300. Springer-Verlag, 2003.

2001

S. H. Muggleton, C. H. Bryant, A. Srinivasan, A. Whittaker, S. Topp, and C. Rawlings. Are grammatical representations useful for learning from biological sequence data? - a case study. Journal of Computational Biology, 8(5):493--522, October 2001. More behind this link.
Stephen Muggleton and John Firth. Relational Rule Induction with CProgol4.4: A Tutorial Introduction. In Saso Dzeroski and Nada Lavrac, editors, Relational Data Mining, pages 160--188. Springer-Verlag, September 2001. More behind this link.
Marcel Turcotte, Stephen H. Muggleton, and Michael J. E. Sternberg. The Effect of Relational Background Knowledge on Learning of Protein Three-Dimensional Fold Signatures. Machine Learning, 43(1/2):81--95, April 2001.
C.H. Bryant, S.H. Muggleton, S.G. Oliver, D.B. Kell, P. Reiser, and R.D. King. Combining Inductive Logic Programming, Active Learning and Robotics to Discover the Function of Genes. Electronic Transactions on Artificial Intelligence, 5(B1):1--36, 2001. More behind this link.

2000

Stephen Muggleton and Christopher Bryant. Theory completion using Inverse Entailment. In J. Cussens and A. Frisch, editors, Proceedings of the 10th International Conference on Inductive Logic Programming, volume 1866 of Lecture Notes in Artificial Intelligence, pages 130--146. Springer-Verlag, 2000.
Alireza Tamaddoni-Nezhad and Stephen Muggleton. Searching the Subsumption Lattice by a Genetic Algorithm. In J. Cussens and A. Frisch, editors, Proceedings of the 10th International Conference on Inductive Logic Programming, volume 1866 of Lecture Notes in Artificial Intelligence, pages 243--252. Springer-Verlag, 2000.
S.H.Muggleton, C.H.Bryant, and A.Srinivasan. Learning Chomsky-like Grammars for Biological Sequence Families. In Proceedings of the 17th International Conference on Machine Learning, pages 631--638. Morgan Kaufmann, 2000. More behind this link.

1999

S. Muggleton and M. Bain. Analogical Prediction. In S. Dzeroski and P. Flach, editors, Proceedings of the 9th International Workshop on Inductive Logic Programming, volume 1634 of Lecture Notes in Artificial Intelligence, pages 234--244. Springer-Verlag, 1999. More behind this link.
R. Parson, K. Khan, and S. Muggleton. Theory Recovery. In S. Dzeroski and P. Flach, editors, Proceedings of the 9th International Workshop on Inductive Logic Programming, volume 1634 of Lecture Notes in Artificial Intelligence, pages 257--267. Springer-Verlag, 1999. More behind this link.
K. Furukawa, D. Michie, and S. Muggleton. Machine Intelligence 15: machine intelligence and inductive learning. Oxford University Press, Oxford, 1999.
S. Muggleton. Inductive Logic Programming. In The MIT Encyclopedia of the Cognitive Sciences (MITECS). MIT Press, 1999. To appear More behind this link.
S. Muggleton. Scientific Knowledge Discovery using Inductive Logic Programming. Communications of the ACM, 42(11):42--46, 1999. More behind this link.

1998

P. Finn, S. Muggleton, D. Page, and A. Srinivasan. Pharmacophore Discovery using the Inductive Logic Programming system Progol. Machine Learning, 30:241--271, 1998. More behind this link.
K. Khan, S. Muggleton, and R. Parson. Repeat Learning Using Predicate Invention. In D. Page, editor, Proceedings of the 8th International Conference on Inductive Logic Programming, volume 1446 of Lecture Notes in Artificial Intelligence, pages 165--174. Springer-Verlag, 1998.
Dimitar Kazakov, Stephen Pulman, and Stephen Muggleton. The FraCaS Dataset and the LLL Challenge. ILP2 project paper, July 1998.
S. Muggleton. Advances in ILP Theory and Implementations (Abstract). In D. Page, editor, Proceedings of the 8th International Conference on Inductive Logic Programming, volume 1446 of Lecture Notes in Artificial Intelligence, pages 9--9. Springer-Verlag, 1998.
S. Muggleton. Completing Inverse Entailment. In D. Page, editor, Proceedings of the 8th International Conference on Inductive Logic Programming, volume 1446 of Lecture Notes in Artificial Intelligence, pages 245--249. Springer-Verlag, 1998.
S. Roberts, W. Van Laer, N. Jacobs, S. Muggleton, and J. Broughton. A Comparison of ILP and Propositional Systems on Propositional Traffic Data. In D. Page, editor, Proceedings of the 8th International Conference on Inductive Logic Programming, volume 1446 of Lecture Notes in Artificial Intelligence, pages 291--300. Springer-Verlag, 1998.
M. Turcotte, S.H. Muggleton, and M.J.E. Sternberg. Application of Inductive Logic Programming to Discover Rules Governing the Three-Dimensional Topology of Protein Structure. In D. Page, editor, Proceedings of the 8th International Conference on Inductive Logic Programming, volume 1446 of Lecture Notes in Artificial Intelligence, pages 53--64. Springer-Verlag, 1998. More behind this link.
I. Bratko, S. Muggleton, and A. Karalic. Applications of Inductive Logic Programming. In R.S. Michalski, I. Bratko, and M. Kubat, editors, Machine Learning and Data Mining. John Wiley and Sons Ltd., Chichester, 1998.
S. Muggleton, A. Srinivasan, R. King, and M. Sternberg. Biochemical knowledge discovery using Inductive Logic Programming. In H. Motoda, editor, Proceedings of the first Conference on Discovery Science, Berlin, 1998. Springer-Verlag More behind this link.
S. Muggleton. Inductive Logic Programming: issues, results and the LLL challenge. In H. Prade, editor, Proceedings of ECAI98, page 697. John Wiley, 1998. Abstract of keynote talk More behind this link.
S. Muggleton. Knowledge discovery in biological and chemical domains. In H. Motoda, editor, Proceedings of the first Conference on Discovery Science, Berlin, 1998. Springer-Verlag. Abstract of keynote talk More behind this link.
S. Muggleton and D. Page. A learnability model for universal representations and its application to top-down induction of decision trees. In K. Furukawa, D. Michie, and S. Muggleton, editors, Machine Intelligence 15. Oxford University Press, 1998. In Press More behind this link.
R. Parson and S. Muggleton. An experiment with browsers that learn. In K. Furukawa, D. Michie, and S. Muggleton, editors, Machine Intelligence 15. Oxford University Press, 1998. In Press More behind this link.

1997

James Cussens, David Page, Stephen Muggleton, and Ashwin Srinivasan. Using Inductive Logic Programming for Natural Language Processing. In W. Daelemans, T. Weijters, and A. van der Bosch, editors, ECML'97 -- Workshop Notes on Empirical Learning of Natural Language Tasks, pages 25--34, Prague, 1997. University of Economics. Invited keynote paper More behind this link.
S. Moyle and S. Muggleton. Learning Programs in the Event Calculus. In S. Dzeroski and N. Lavrac, editors, Proceedings of the 7th International Workshop on Inductive Logic Programming, volume 1297 of Lecture Notes in Artificial Intelligence, pages 205--212. Springer-Verlag, 1997.
A. Srinivasan, R.D. King, S. Muggleton, and M.J.E. Sternberg. Carcinogenesis Predictions Using ILP. In S. Dzeroski and N. Lavrac, editors, Proceedings of the 7th International Workshop on Inductive Logic Programming, volume 1297 of Lecture Notes in Artificial Intelligence, pages 273--287. Springer-Verlag, 1997.
S. Muggleton. Declarative knowledge discovery in industrial databases. In H.F. Arner, editor, Proceedings of the First International Conference and Exhibition on The Practical Application of Knowledge Discovery and Data Mining (PADD-97), pages 9--24. Practical Application Company Ltd., 1997. More behind this link.
A. Srinivasan, R.D. King, S.H. Muggleton, and M. Sternberg. The predictive toxicology evaluation challenge. In Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence (IJCAI-97), pages 1--6. Morgan-Kaufmann, 1997. More behind this link.

1996

R.D. King, S. Muggleton, A. Srinivasan, and M.J.E. Sternberg. Structure-activity relationships derived by machine learning: {T}he use of atoms and their bond connectivities to predict mutagenicity by inductive logic programming. Proceedings of the National Academy of Sciences, 93:438--442, 1996.
S. Muggleton. Learning from positive data. In S. Muggleton, editor, Proceedings of the 6th International Workshop on Inductive Logic Programming, volume 1314 of Lecture Notes in Artificial Intelligence, pages 358--376. Springer-Verlag, 1996.
S. Muggleton. Stochastic Logic Programs. In L. De Raedt, editor, Advances in Inductive Logic Programming, pages 254--264. IOS Press, 1996.
S. Muggleton, C.D. Page, and A. Srinivasan. An initial experiment into stereochemistry-based drug design using ILP. In S. Muggleton, editor, Proceedings of the 6th International Workshop on Inductive Logic Programming, volume 1314 of Lecture Notes in Artificial Intelligence, pages 25--40. Springer-Verlag, 1996.
A. Srinivasan, S. Muggleton, M.J.E. Sternberg, and R.D. King. Theories for mutagenicity: A study in first-order and feature-based induction. Artificial Intelligence, 85(1,2), 1996.
S. Muggleton and D. Michie. Machine intelligibility and the duality principle. British Telecom Technology Journal, 14(4):15--23, 1996. More behind this link.

1995

I. Bratko and S. Muggleton. Applications of inductive logic programming. Communications of the ACM, 1995.
S. Muggleton. Stochastic Logic Programs. In L. De Raedt, editor, Proceedings of the 5th International Workshop on Inductive Logic Programming, page 29. Department of Computer Science, Katholieke Universiteit Leuven, 1995.
S. Muggleton. Inverting entailment and Progol. In Machine Intelligence, volume 14, pages 133--188. Oxford University Press, 1995.
S. Muggleton. Inverse Entailment and Progol. New Generation Computing, Special issue on Inductive Logic Programming, 13(3-4):245--286, 1995.
A. Srinivasan, S. Muggleton, and R.D. King. Comparing the use of background knowledge by Inductive Logic Programming systems. In L. De Raedt, editor, Proceedings of the 5th International Workshop on Inductive Logic Programming, pages 199--230. Department of Computer Science, Katholieke Universiteit Leuven, 1995.
A. Srinivasan, S. Muggleton, R.D. King, and M.J.E. Sternberg. The effect of background knowledge in Inductive Logic Programming: A case study. Technical Report, PRG-TR-9-95 Oxford University Computing Laboratory, 1995.
A. Srinivasan, S. Muggleton, R.D. King, and M.J.E. Sternberg. Theories for mutagenecity: A study of first-order and feature based induciton. Technical Report, PRG-TR-8-95 Oxford University Computing Laboratory, 1995.
K. Furukawa, D. Michie, and S. Muggleton. Machine Intelligence 14: machine intelligence and inductive learning. Oxford University Press, Oxford, 1995.

1994

D. Michie, S. Muggleton, D. Page, and A. Srinivasan. To the international computing community: A new East-West challenge. Technical Report, Oxford University Computing laboratory, Oxford,UK, 1994. More behind this link.
S. Muggleton. Predicate Invention and Utility. Journal of Experimental and Theoretical Artificial Intelligence, 6(1):121--130, 1994.
S. Muggleton. Bayesian Inductive Logic Programming. In W.W. Cohen and H. Hirsh, editors, Proceedings of the 11th International Conference on Machine Learning, pages 371--379. Morgan Kaufmann, 1994.
S. Muggleton. Inductive Logic Programming. SIGART Bulletin, 5(1):5--11, 1994.
S. Muggleton and C.D. Page. A Learnability Model for Universal Representations. In S. Wrobel, editor, Proceedings of the 4th International Workshop on Inductive Logic Programming, volume 237 of GMD-Studien, pages 139--160. Gesellschaft für Mathematik und Datenverarbeitung MBH, 1994.
S. Muggleton and C.D. Page. Self-saturation of Definite Clauses. In S. Wrobel, editor, Proceedings of the 4th International Workshop on Inductive Logic Programming, volume 237 of GMD-Studien, pages 161--174. Gesellschaft für Mathematik und Datenverarbeitung MBH, 1994.
S. Muggleton and D. Page. Beyond first-order learning: Inductive learning with higher-order logic. Technical Report PRG-TR-13-94, Oxford University, Oxford, 1994.
S. Muggleton and L. De Raedt. Inductive Logic Programming: Theory and Methods. Journal of Logic Programming, 19/20:629--679, 1994.
A. Srinivasan, S. Muggleton, and M. Bain. The justification of logical theories. In S. Muggleton, D. Michie, and K.Furukawa, editors, Machine Intelligence, volume 13, pages 87--121. Oxford University Press, 1994.
A. Srinivasan, S. Muggleton, R.D. King, and M.J.E. Sternberg. Mutagenesis: ILP experiments in a non-determinate biological domain. In S. Wrobel, editor, Proceedings of the 4th International Workshop on Inductive Logic Programming, volume 237 of GMD-Studien, pages 217--232. Gesellschaft für Mathematik und Datenverarbeitung MBH, 1994.
M.J.E. Sternberg, J.D. Hurst, R.A. Lewis, R.D. King, A. Srinivasan, and S. Muggleton. Application of Machine Learning to Protein Structure Prediction and Drug Design. In Proceedings of the Colloquium on Molecular Bioinformatics, 1994.
K. Furukawa, D. Michie, and S. Muggleton. Machine Intelligence 13: machine intelligence and inductive learning. Oxford University Press, Oxford, 1994.
S. Muggleton. Bayesian Inductive Logic Programming. In M. Warmuth, editor, Proceedings of the Seventh Annual ACM Conference on Computational Learning Theory, pages 3--11, New York, 1994. ACM Press. Keynote presentation
M. Sternberg, R. King, R. Lewis, and S. Muggleton. Application of Machine Learning to Structural Molecular Biology. Philosophical Transactions of the Royal Society B, 344:365--371, 1994.
M. Sternberg, J. Hirst, R. Lewis, R. King, A. Srinivasan, and S. Muggleton. Application of Machine Learning to Protein Structure Prediction and Drug Design. In S. Schulze-Kremer, editor, Advances in Molecular Bioinformatics, pages 1--8. IOS Press, 1994.

1993

M. Bain and S. Muggleton. Learning optimal chess strategies. In S. Muggleton, D. Michie, and K. Furukawa, editors, Machine Intelligence, volume 13. Oxford University Press, 1993.
S. Dzeroski, S. Muggleton, and S. Russell. Learnability of constrained logic programs. In P. Brazdil, editor, Proceedings of the 6th European Conference on Machine Learning, volume 667 of Lecture Notes in Artificial Intelligence, pages 342--347. Springer-Verlag, 1993.
S. Muggleton. Inductive Logic Programming: Derivations, Successes and Shortcomings. In P. Brazdil, editor, Proceedings of the 6th European Conference on Machine Learning, volume 667 of Lecture Notes in Artificial Intelligence, pages 21--38. Springer-Verlag, 1993.
S. Muggleton. Logic and learning: Turing's legacy. In S. Muggleton, D. Michie, and K. Furukawa, editors, Machine Intelligence, volume 13, pages 37--56. Oxford University Press, 1993.
S. Muggleton, editor. Proceedings of the 3rd International Workshop on Inductive Logic Programming. Jozef Stefan Institute, 1993.
S. Muggleton. Optimal layered learning: A PAC approach to incremental sampling. In K. Jantke, S. Kobayashi, E. Tomita, and T. Yokomori, editors, Proceedings of the 4th Conference on Algorithmic Learning Theory, Lecture Notes in Artificial Intelligence, pages 37--44. Springer-Verlag, 1993.

1992

M. Bain and S. Muggleton. Non-monotonic learning. In S. Muggleton, editor, Inductive Logic Programming, pages 145--161. Academic Press, 1992.
I. Bratko, S. Muggleton, and A. Varsek. Learning Qualitative Models of Dynamic Systems. In S. Muggleton, editor, Inductive Logic Programming, pages 437--452. Academic Press, 1992.
B. Dolsak and S. Muggleton. The Application of Inductive Logic Programming to Finite-Element Mesh Design. In S. Muggleton, editor, Inductive Logic Programming, pages 453--472. Academic Press, 1992.
S. Dzeroski, S. Muggleton, and S. Russell. PAC-learnability of determinate logic programs. In Proceedings of the 5th ACM Workshop on Computational Learning Theory, pages 128--135. ACM Press, 1992.
S. Dzeroski, S. Muggleton, and S. Russell. PAC-learnability of constrained nonrecursive logic programs. In Proceedings of the 3rd International Workshop on Computational Learning Theory and Natural Learning Systems, 1992.
C. Feng and S. Muggleton. Towards inductive generalization in higher order logic. In S. Muggleton, editor, Proceedings of the 2nd International Workshop on Inductive Logic Programming, Report ICOT TM-1182, 1992.
C. Feng and S. Muggleton. Towards Inductive Generalization in Higher Order Logic. In D. Sleeman and P. Edwards, editors, Proceedings of the 9th International Workshop on Machine Learning, pages 154--162. Morgan Kaufmann, 1992.
D. Gabbay, D. Gillies, A. Hunter, S. Muggleton, Y. Ng, and B. Richards. The Rule-Based Systems Project: Using Confirmation Theory and Non-Monotonic Logics for Incremental Learning. In S. Muggleton, editor, Inductive Logic Programming, pages 213--230. Academic Press, 1992.
R.D. King, S. Muggleton, R. Lewis, and M.J.E Sternberg. Drug design by machine learning. In S. Muggleton, editor, Proceedings of the 2nd International Workshop on Inductive Logic Programming, Report ICOT TM-1182, 1992.
R.D. King, S. Muggleton, R. Lewis, and M.J.E Sternberg. Drug design by machine learning: The use of inductive logic programming to model the structure-activity relationships of trimethoprim analogues binding to dihydrofolate reductase. Proceedings of the National Academy of Sciences of the USA, 89(23):11322--11326, 1992.
S. Muggleton. Inverting Implication. In C. Rouveirol, editor, Proceedings of the ECAI-92 Workshop on Logical Approaches to Machine Learning, 1992.
S. Muggleton. A theoretical framework for predicate invention. In S. Muggleton, editor, Proceedings of the 2nd International Workshop on Inductive Logic Programming, Report ICOT TM-1182, page 18, 1992. Abstract only
S. Muggleton. Inverting implication. In S. Muggleton, editor, Proceedings of the 2nd International Workshop on Inductive Logic Programming, Report ICOT TM-1182, pages 19--39, 1992.
S. Muggleton. Inductive Logic Programming. In S. Muggleton, editor, Inductive Logic Programming, pages 3--28. Academic Press, 1992.
S. Muggleton, editor. Inductive Logic Programming. Academic Press, 1992.
S. Muggleton, editor. Proceedings of the 2nd International Workshop on Inductive Logic Programming. ICOT, Tokyo, 1992.
S. Muggleton and W. Buntine. Machine Invention of First-order Predicates by Inverting Resolution. In S. Muggleton, editor, Inductive Logic Programming, pages 261--280. Academic Press, 1992.
S. Muggleton and C. Feng. Efficient Induction in Logic Programs. In S. Muggleton, editor, Inductive Logic Programming, pages 281--298. Academic Press, 1992.
S. Muggleton, R.D. King, and M.J.E Sternberg. Protein secondary structure prediction using logic. In S. Muggleton, editor, Proceedings of the 2nd International Workshop on Inductive Logic Programming, Report ICOT TM-1182, pages 228--259, 1992.
S. Muggleton, R.D. King, and M.J.E. Sternberg. Protein secondary structure prediction using logic. Protein Engineering, 7:647--657, 1992.
S. Muggleton, A. Srinivasan, and M. Bain. Compression, significance and accuracy. In D. Sleeman and P. Edwards, editors, Proceedings of the 9th International Workshop on Machine Learning, pages 338--347. Morgan Kaufmann, 1992.
A. Srinivasan, S. Muggleton, and M. Bain. Distinguishing exceptions from noise in non monotonic learning. In C. Rouveirol, editor, Proceedings of the ECAI-92 Workshop on Logical Approaches to Machine Learning, 1992.
A. Srinivasan, S. Muggleton, and M. Bain. Distinguishing exceptions from noise in non-monotonic learning. In S. Muggleton, editor, Proceedings of the 2nd International Workshop on Inductive Logic Programming, Report ICOT TM-1182, 1992.
M. Sternberg, R. Lewis, R. King, and S. Muggleton. Modelling the structure and function of enzymes by machine learning. Proceedings of the Royal Society of Chemistry: Faraday Discussions, 93:269--280, 1992.

1991

M. Bain and S. Muggleton. Non-monotonic learning. In J.E. Hayes-Michie and E. Tyugu, editors, Machine Intelligence, volume 12. Oxford University Press, 1991.
P. Brazdil and S. Muggleton. Learning to Relate Terms in a Multiple Agent Environment. In Y. Kodratoff, editor, Proceedings of the 5th European Working Session on Learning, volume 482 of Lecture Notes in Artificial Intelligence, pages 424--439. Springer-Verlag, 1991.
I. Bratko, S. Muggleton, and A. Varsek. Learning Qualitative Models of Dynamic Systems. In S. Muggleton, editor, Proceedings of the 1st International Workshop on Inductive Logic Programming, pages 207--224, 1991.
I. Bratko, S. Muggleton, and A. Varsek. Learning Qualitative Models of Dynamic Systems. In L. Birnbaum and G. Collins, editors, Proceedings of the 8th International Workshop on Machine Learning, pages 385--388. Morgan Kaufmann, 1991.
B. Dolsak and S. Muggleton. The Application of ILP to Finite Element Mesh Design. In S. Muggleton, editor, Proceedings of the 1st International Workshop on Inductive Logic Programming, pages 225--242, 1991.
D. Gabbay, D. Gillies, A. Hunter, S. Muggleton, Y. Ng, and B. Richards. The Rule-based Systems Project. In S. Muggleton, editor, Proceedings of the 1st International Workshop on Inductive Logic Programming, pages 95--106, 1991.
S. Muggleton. Inductive logic programming. New Generation Computing, 8(4):295--317, 1991.
S. Muggleton. Inverting the resolution principle. In J.E. Hayes-Michie and E. Tyugu, editors, Machine Intelligence, volume 12, pages 93--104. Oxford University Press, 1991.
S. Muggleton, editor. Proceedings of the 1st International Workshop on Inductive Logic Programming. University of Porto, 1991.
S. Muggleton, A. Srinivasan, and M. Bain. MDL codes for non-monotonic learning. Technical Report TIRM-91-049, Turing Institute, 1991.

1990

S. Muggleton. Inductive logic programming. In Proceedings of the 1st Conference on Algorithmic Learning Theory, pages 43--62. Ohmsma, Tokyo, Japan, 1990.
S. Muggleton and C. Feng. Efficient induction of logic programs. In Proceedings of the 1st Conference on Algorithmic Learning Theory, pages 368--381. Ohmsma, Tokyo, Japan, 1990.
S. Muggleton. Inductive Acquisition of Expert Knowledge. Addision-Wesley, Wokingham, England, 1990.

1989

S. Muggleton, M. Bain, J. Hayes-Michie, and D. Michie. An experimental comparison of human and machine learning formalisms. In Proceedings of the 6th International Workshop on Machine Learning, pages 113--118. Morgan Kaufmann, 1989.

1988

S. Muggleton. A strategy for constructing new predicates in first order logic. In D. Sleeman, editor, Proceedings of the 3rd European Working Session on Learning, pages 123--130. Pitman, 1988.
S. Muggleton and W. Buntine. Machine invention of first order predicates by inverting resolution. In Proceedings of the 5th International Workshop on Machine Learning, pages 339--351. Morgan Kaufmann, 1988.
S. Muggleton. Inductive acquisition of chess strategies. In Machine Intellience 11, pages 375--390. Oxford University Press, 1988.

1987

S. Muggleton. Duce, an oracle based approach to constructive induction. In Proceedings of the 10th International Joint Conference on Artificial Intelligence, pages 287--292. Morgan Kaufmann, 1987. More behind this link.

1984

D. Michie, S. Muggleton, C. Riese, and S. Zubrick. RuleMaster: a second-generation knowledge-engineering facility. In Proceedings of the First Conference on Artificial Intelligence Applications, pages 591--597. IEEE Computer Soc., 1984.