Inference in classifier systems

Jorge Muruzábal

DES - Working Papers. Statistics and Econometrics. WS from Universidad Carlos III de Madrid. Departamento de Estadística

Abstract: Classifier systems (Css) provide a rich framework for learning and induction, and they have beenı successfully applied in the artificial intelligence literature for some time. In this paper, both theı architecture and the inferential mechanisms in general CSs are reviewed, and a number of limitations and extensions of the basic approach are summarized. A system based on the CS approach that is capable of quantitative data analysis is outlined and some of its peculiarities discussed.

Keywords: Classifier; systems; Machine; learning; Exploratory; data; analysis (search for similar items in EconPapers)
Date: 1993-09
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Persistent link: https://EconPapers.repec.org/RePEc:cte:wsrepe:3730

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