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Ryszard S. Michalski: The Vision and Evolution of Machine Learning

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Advances in Machine Learning I

Part of the book series: Studies in Computational Intelligence ((SCI,volume 262))

Abstract

Ryszard S. Michalski was an outstanding scientist who dedicated his life to research and discovery. He pioneered so many areas and methods of machine learning that it is not possible to describe them properly in one chapter. Thus, we present a brief summary of what we believe are the most important aspects of his research, and present the vision of machine learning that he communicated to us on multiple occasions. The most important topics mentioned in this chapter are: natural induction, knowledge mining, AQ learning, conceptual clustering, VL1 and attributional calculus, constructive induction, the learnable evolution model, inductive databases, methods of plausible reasoning, and the inferential theory of learning.

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Author information

Authors and Affiliations

  1. Machine Learning and Inference Laboratory, George Mason University, Fairfax, VA, 22030, USA

    Janusz Wojtusiak & Kenneth A. Kaufman

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  1. Janusz Wojtusiak
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  2. Kenneth A. Kaufman
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Editors and Affiliations

  1. Institute of Computer Science, Polish Academy of Sciences, ul.Ordona 21, 01-237, Warsaw, Poland

    Jacek Koronacki  & Sławomir T. Wierzchoń  & 

  2. Woodward Hall 430C University of North Carolina, 9201 University City Blvd., N.C. 28223, Charlotte, USA

    Zbigniew W. RaÅ›

  3. Systems Research Institute, Polish Academy of Sciences, ul.Newelska 6, 01-447, Warsaw, 01-447

    Janusz Kacprzyk

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Wojtusiak, J., Kaufman, K.A. (2010). Ryszard S. Michalski: The Vision and Evolution of Machine Learning. 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_1

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  • DOI: https://doi.org/10.1007/978-3-642-05177-7_1

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