Format:
Online-Ressource
,
v.: digital
ISBN:
9783540481041
Series Statement:
Lecture Notes in Computer Science 2321
Content:
Theory -- Biasing Exploration in an Anticipatory Learning Classifier System -- An Incremental Multiplexer Problem and Its Uses in Classifier System Research -- A Minimal Model of Communication for a Multi-agent Classifier System -- A Representation for Accuracy-Based Assessment of Classifier System Prediction Performance -- A Self-Adaptive XCS -- Two Views of Classifier Systems -- Social Simulation Using a Multi-agent Model Based on Classifier Systems: The Emergence of Vacillating Behaviour in the “El Farol” Bar Problem -- Applications -- XCS and GALE: A Comparative Study of Two Learning Classifier Systems on Data Mining -- A Preliminary Investigation of Modified XCS as a Generic Data Mining Tool -- Explorations in LCS Models of Stock Trading -- On-Line Approach for Loss Reduction in Electric Power Distribution Networks Using Learning Classifier Systems -- Compact Rulesets from XCSI -- An Algorithmic Description of ACS2.
Note:
In: Springer-Online
Additional Edition:
ISBN 9783540437932
Additional Edition:
Buchausg. u.d.T. Advances in learning classifier systems Berlin : Springer, 2002 ISBN 3540437932
Language:
English
Subjects:
Computer Science
Keywords:
Lernendes System
;
Automatische Klassifikation
;
Konferenzschrift
DOI:
10.1007/3-540-48104-4
URL:
Volltext
(lizenzpflichtig)
URL:
Volltext
(lizenzpflichtig)
Author information:
Lanzi, Pier Luca 1967-
