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Buntine W (1998) Generalized subsumption and its application to induction and redundancy. Artif Intell 36:375–399
De Raedt L (1997) Logical settings for concept learning. Artif Intell 95:187–201
De Raedt L (2008) Logical and relational learning. Springer, New York
Flach PA (1994) Simply logical: intelligent reasoning by example. Wiley, New York
Michalski RS (1983) A theory and methodology of inductive learning. Artif Intell 20(2):111–161
Muggleton S (1987) Duce, an oracle based approach to constructive induction. In: Proceedings of the 10th international joint conference on artificial intelligence. Morgan Kaufmann, San Francisco, pp 287–292
Muggleton S (1995) Inverse entailment and Progol. New Gener Comput 13(3–4):245–286
Muggleton S, Buntine W (1988) Machine invention of first order predicates by inverting resolution. In: Proceedings of the 5th international workshop on machine learning. Morgan Kaufmann, San Francisco, pp 339–351
Muggleton S, De Raedt L (1994) Inductive logic programming: theory and methods. J Logic Program 19/20:629–679
Muggleton S, Feng C (1990) Efficient induction of logic programs. In: Proceedings of the 1st conference on algorithmic learning theory, Ohmsma, Tokyo, pp 368–381
Nienhuys-Cheng S-H, de Wolf R (1997) Foundations of inductive logic programming. Springer, Berlin
Plotkin GD (1970) A note on inductive generalization. In: Machine intelligence, vol 5. Edinburgh University Press, Edinburgh, pp 153–163
Plotkin GD (1971) A further note on inductive generalization. In: Machine intelligence, vol 6. Edinburgh University Press, Edinburgh, pp 101–124
Rouveirol C (1994) Flattening and saturation: two representation changes for generalization. Mach Learn 14(2):219–232
Sammut C, Banerji RB (1986) Learning concepts by asking questions. In: Michalski RS, Carbonell JG, Mitchell TM (eds) Machine learning: an artificial intelligence approach, vol 2. Morgan Kaufmann, San Francisco, pp 167–192
Semeraro G, Esposito F, Malerba D (2006) Ideal refinement of datalog programs. In: Proceedings of the 5th international workshop on logic program synthesis and transformation, Utrecht. Lecture notes in computer science, vol 1048. Springer, pp 120–136
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De Raedt, L. (2017). Logic of Generality. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning and Data Mining. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-7687-1_489
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