By Claude Sammut, Geoffrey I. Webb

Claude Sammut is a Professor of computing device technological know-how and Engineering on the collage of latest South Wales, Australia, and Head of the factitious Intelligence study staff. he's the UNSW node Director of the ARC Centre of Excellence for self sufficient structures and a member of the joint ARC/NH&MRC undertaking on pondering structures. he's at the editorial forums of the magazine of computing device studying study, the desktop studying magazine and New iteration Computing, and used to be the chairman of the 2007 overseas convention on laptop Learning.

Geoffrey I. Webb is learn professor within the college of knowledge know-how at Monash college, Melbourne, Australia. He has released greater than a hundred and fifty medical papers and is the writer of the knowledge mining software program package deal Magnum Opus. His study components comprise options for strengthening the Naïve Bayes computing device studying method, K-optimal trend discovery, and paintings on Occam’s razor. he's editor-in-chief of Springer’s information Mining and data Discovery magazine, in addition to being at the editorial board of computing device Learning.

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Michalski, R. S. (). Inferential theory of learning as a conceptual basis for multistrategy learning. Machine Learning, , –. Moyle, S. (). Using theory completion to learn a robot navigation control program. In Proceedings of the th international conference on inductive logic programming (pp. –). Berlin: Springer. Moyle, S. A. (). An investigation into theory completion techniques in inductive logic programming. PhD thesis, Oxford University Computing Laboratory, University of Oxford.

Ray (), Ray and Bryant (), and Doncescu, Inoue, and Yamamoto (), respectively. , & Denecker, M. (). AILP: Abductive inductive logic programming. In C. S. ), IJCAI (pp. –). San Francisco: Morgan Kaufmann. , & Raedt, L. D. (). Ruth: An ILP theory revision system. In ISMIS. Berlin: Springer. , & Uchitel, S. (). Using abduction and induction for operational requirements elaboration. Journal of Applied Logic, (), –. , & Mooney, R. (). Explanation-based learning: An alternate view.

Has allowed HAIL to solve a wider class of problems. HAIL has been extended to a framework, called XHAIL (Ray, ), for learning nonmonotonic ILP, allowing it to be applied to learn Event Calculus theories for action description (Alrajeh, Ray, Russo, & Uchitel, ) and complex scientific theories for systems biology (Ray & Bryant, ). Applications of this integration of abduction and induction and the cycle of knowledge development can be found in the recent proceedings of the Abduction and Induction in Artificial Intelligence workshops in  (Flach & Kakas, ) and  (Ray, Flach, & Kakas, ).

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