Learning classifier systems: New models, successful applications
type: Item
instance of: scholarly article
title: Learning classifier systems: New models, successful applications
zbMATH Open document ID: 1013.68245
DOI: 10.1016/S0020-0190(01)00283-6
author: John H. Holmes
author: Pier Luca Lanzi
author: Wolfgang Stolzmann
author: Stewart W. Wilson
published in: Information Processing Letters
publication date: 2002-07-14T00:00:00Z
Mathematics Subject Classification ID: 68T40
zbMATH DE Number: 1767634
zbMATH Keywords: classifier systems
zbMATH Keywords: robotics
zbMATH Keywords: data mining
zbMATH Keywords: generalization
zbMATH Keywords: internal models
zbMATH Keywords: complexity
describes a project that uses: YACS
MaRDI profile type: Publication
cites work: YACS: A new learning classifier system using anticipation
cites work: Learning classifier systems from a reinforcement learning perspective
cites work: Introduction to the special issue on agent-based computational economics
cites work: Time series properties of an artificial stock market
cites work: Q4264774
full work available at URL: s0020-0190(01)00283-6
OpenAlex ID: W2030234583
description: scientific article; zbMATH DE number 1767634