ZCS: A Zeroth Level Classifier System

被引：257

作者：

Wilson, Stewart W. ^{[1
]}

机构：

[1] Rowland Inst Sci, Cambridge, MA 02142 USA

来源：

EVOLUTIONARY COMPUTATION | 1994年 / 2卷 / 01期

关键词：

Classifier systems; Q-learning; temporary memory; action selection; restricted mating; s-classifiers; genetic programming;

D O I：

10.1162/evco.1994.2.1.1

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 [模式识别与智能系统]; 0812 [计算机科学与技术]; 0835 [软件工程]; 1405 [智能科学与技术];

摘要：

A basic classifier system, ZCS, is presented that keeps much of Holland's original framework but simplifies it to increase understandability and performance. ZCS's relation to Q-learning is brought out, and their performances compared in environments of two difficulty levels. Extensions to ZCS are proposed for temporary memory, better action selection, more efficient use of the genetic algorithm, and more general classifier representation.

引用

页码：1 / 18

页数：18

共 35 条

[1]

[Anonymous], 1992, GENETIC PROGRAMMING

[2]

Barto A.G., 1992, HDB INTELLIGENT CONT

[3]

Booker L., 1982, THESIS U MICHIGAN AN

[4]

Booker L. B, 1991, FDN GENETIC ALGORITH, P115