Concept formation and decision tree induction using the genetic programming paradigm | Zendy

John R. Koza | Zendy

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Concept formation and decision tree induction using the genetic programming paradigm

Author(s) -

John R. Koza

Publication year - 2006

Publication title -

parallel problem solving from nature

Language(s) - English

Resource type - Book series

ISBN - 3-540-54148-9

DOI - 10.1007/bfb0029742

Subject(s) - genetic programming , computer science , decision tree , tree (set theory) , artificial intelligence , mathematics , mathematical analysis

This paper describes the application of the recently developed "genetic programming" paradigm to the problem of concept formation and decision tree induction. 1. INTRODUCTION AND OVERVIEW This paper describes the recently developed "genetic programming" paradigm which genetically breeds populations of computer programs to solve problems. In genetic programming, the individuals in the population are hierarchical compositions of functions and arguments of various sizes and shapes.

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