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Upcoming 90th Birthday of a Great Scientist in Cybernetics and Inductive Learning Systems

March 30 marks the 90th birthday of Professor Alexey Grigoryevich Ivakhnenko (Ukraine), the innovative, respected and still very active scientist in the field of control systems, cybernetics [1] and adaptive learning systems and author of the well-known GMDH data mining technology. He has 30 monographs and more than 400 published scientific articles, but the most far reaching invention used and adopted today in various domains worldwide is his famous self-organizing modeling algorithm known as the Group Method of Data Handling (GMDH) [2, 3].

Built in 1968 on a spectrum of basic scientific concepts like the cybernetic "black-box" approach, the principle of selection of natural evolution, Goedel's theorem, Gabor's principle of "freedom of choice of decisions", and Beer's concept of an "external complement", this inductive, statistical learning network technology has been significantly influencing research in other domains like computational intelligence, machine learning, and data mining. Likewise, it has been improved by the international scientifc community [4, 5], especially by recognized researchers from Japan (Kondo, Tadashi), USA (Barron, Elder), Germany (Mueller), China (Wang), and the Ukraine (Ivakhnenko, Stepashko, Jurachkovsky).

Today, the GMDH algorithm is a most advanced, powerful, and proven statistical learning technology, and it allows us to objectively identify unknown relationships of complex systems in form of self-organized equations, rules, or patterns by just looking at a set of measured data of a system. This knowledge extraction from data serves both experts and non-experts in data analysis to solve many problems in business intelligence, medicine, ecology, sociology and other fields.

By celebrating this jubilee we honor and thank Prof. Ivakhnenko for his extraordinary work and contributions to improve life and help better understand the secrets of our world. More information about his work is available at http://www.gmdh.net.

Selected Publications
[1] Ivakhnenko, A.G.: Technical Cybernetics, 1959
[2] Ivakhnenko, A.G, Mueller, J.-A.: Self-organization of Prediction
Models, 1985
[3] Madala, H.R., Ivaknenko, A.G.: Inductive Learning Algorithms for
Complex Systems Modeling, CRC Press, Boca Raton, 1994
[4] Farlow, S.J. (ed.): Self-organizing Methods in Modeling, Marcel
Dekker, New York, Basel, 1984
[5] Mueller, J.-A., Lemke, F.: Self-Organising Data Mining. Extracting
Knowledge From Data, Hamburg, 2000