Abstract
In this chapter we first define the field of inductive machine learning and then describe Michalski’s basic AQ algorithm. Next, we describe two of our machine learning algorithms, the CLIP4: a hybrid of rule and decision tree algorithms, and the DataSqeezer: a rule algorithm. The development of the latter two algorithms was inspired to a large degree by Michalski’s seminal paper on inductive machine learning (1969). To many researchers, including the authors, Michalski is a “father” of inductive machine learning, as Łukasiewicz is of multivalued logic (extended much later to fuzzy logic) (Łukasiewicz, 1920), and Pawlak of rough sets (1991). Michalski was the first to work on inductive machine learning algorithms that generate rules, which will be explained via describing his AQ algorithm (1986).
Professor Michalski, after delivering talk on artificial intelligence at the University of Toledo, Ohio, in 1986, at the invitation of the first author, explained the origin of his second name: Spencer. Namely, he used the right of changing his name while becoming a United States citizen and adopted it after the well-known philosopher Herbert Spencer.
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Cios, K.J., Kurgan, Ł.A. (2010). Machine Learning Algorithms Inspired by the Work of Ryszard Spencer Michalski. In: Koronacki, J., Raś, Z.W., Wierzchoń, S.T., Kacprzyk, J. (eds) Advances in Machine Learning I. Studies in Computational Intelligence, vol 262. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05177-7_3
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