Learning classifier systems: then and now

被引：47
|
作者：
Lanzi, Pier Luca [1 ]
机构：
[1] Univ Illinois, Illinois Genet Algorithm Lab IlliGAL, Urbana, IL 61801 USA
来源：
EVOLUTIONARY INTELLIGENCE | 2008年 / 1卷 / 01期
关键词：
Genetics-based Machine Learning; Learning classifier systems; Classification; Reinforcement learning;
D O I：
10.1007/s12065-007-0003-3
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Broadly conceived as computational models of cognition and tools for modeling complex adaptive systems, later extended for use in adaptive robotics, and today also applied to effective classification and data-mining what has happened to learning classifier systems in the last decade? This paper addresses this question by examining the current state of learning classifier system research.
引用
收藏
页码：63 / 82
页数：20
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