Abstract
This paper describes a self-adaptive, learning system which, beyond the humorous task environment presently placed into, can be made use of in a variety of personality tests. Possible applications range from market research studies to quasioptimum game playing programs. It is hoped that Women's Libbers will recognize the tongue-in-cheek approach.
Phase I of the learning program MATER aims at discovering the terms of the evaluation function to be patterned and computes the weights of importance of its features approximately. Phase II adjusts further these weights, if needed, to match those of the subject imitated.
Zusammenfassung
Dieser Artikel beschreibt ein selbststeuerndes Lernsystem, welches—außer in diesem heiteren Aufgabengebiet—in einer Vielzahl von Persönlichkeitstesten verwendet werden kann. Mögliche Anwendungen reichen von Marktforschung bis zu quasi-optimalen Spiel-Programmen. Es ist zu hoffen, daß die Frauenemanzipations-Bewegung diese etwas ironisch wirkende Stellungnahme anerkennen wird.
Phase I des Lernprogramms MATER zielt auf die Aufdeckung der Terme der Auswertungsfunktion und berechnet annähernd die Gewichte der Bedeutung ihrer Merkmale. Phase II berichtigt, wenn notwendig, im weiteren Verlauf diese Gewichte, um sie den imitierten Subjekten anzupassen.
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The work reported here was partially supported by the National Science Foundation Grant GJ-658.
ProfessorFindler's address during the 1972/73 academic year is: Institute of Numerical Mathematics, Technical University of Vienna, Karlsplatz 13, A-1040 Vienna, Austria.
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Findler, N.V., Goit, E. A computerized matchmaker that is capable of learning. Computing 11, 69–72 (1973). https://doi.org/10.1007/BF02239474
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DOI: https://doi.org/10.1007/BF02239474