Automatically assigned DDC number: 006336

Manually assigned DDC number: 00631

Number of references: 0

Title: Using Genetic Algorithms for Concept Learning

Author:

Author:

Author:

Subject: Kenneth A. De Jong,William M. Spears,Diana F. Gordon Using Genetic Algorithms for Concept Learning

Description: In this paper, we explore the use of genetic algorithms (GAs) as a key element in the design and implementation of robust concept learning systems. We describe and evaluate a GA-based system called GABIL that continually learns and refines concept classification rules from its interaction with the environment. The use of GAs is motivated by recent studies showing the effects of various forms of bias built into different concept learning systems, resulting in systems that perform well on certain concept classes (generally, those well matched to the biases) and poorly on others. By incorporating a GA as the underlying adaptive search mechanism, we are able to construct a concept learning system that has a simple, unified architecture with several important features. First, the system is surprisingly robust even with minimal bias. Second, the system can be easily extended to incorporate traditional forms of bias found in other concept learning systems. Finally, the architecture of the sys...

Contributor: The Pennsylvania State University CiteSeer Archives

Publisher: unknown

Date: 1998-06-03

Pubyear: 1993

Format: ps

Identifier: http://citeseer.ist.psu.edu/140965.html

Source: http://www.aic.nrl.navy.mil/~spears/papers/mlj93.ps.gz

Language: en

Rights: unrestricted

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