Learning Classifier Systems (Record no. 188862)

MARC details
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001 - CONTROL NUMBER
control field 978-3-540-45027-6
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240423132533.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783540450276
-- 978-3-540-45027-6
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/3-540-45027-0
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q334-342
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA347.A78
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM004000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
245 10 - TITLE STATEMENT
Title Learning Classifier Systems
Medium [electronic resource] :
Remainder of title From Foundations to Applications /
Statement of responsibility, etc edited by Pier L. Lanzi, Wolfgang Stolzmann, Stewart W. Wilson.
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2000.
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg :
-- Imprint: Springer,
-- 2000.
300 ## - PHYSICAL DESCRIPTION
Extent X, 354 p.
Other physical details online resource.
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-- computer
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-- online resource
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347 ## -
-- text file
-- PDF
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490 1# - SERIES STATEMENT
Series statement Lecture Notes in Artificial Intelligence,
International Standard Serial Number 2945-9141 ;
Volume number/sequential designation 1813
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Basics -- What Is a Learning Classifier System? -- A Roadmap to the Last Decade of Learning Classifier System Research (From 1989 to 1999) -- State of XCS Classifier System Research -- An Introduction to Learning Fuzzy Classifier Systems -- Advanced Topics -- Fuzzy and Crisp Representations of Real-Valued Input for Learning Classifier Systems -- Do We Really Need to Estimate Rule Utilities in Classifier Systems? -- Strength or Accuracy? Fitness Calculation in Learning Classifier Systems -- Non-homogeneous Classifier Systems in a Macro-evolution Process -- An Introduction to Anticipatory Classifier Systems -- A Corporate XCS -- Get Real! XCS with Continuous-Valued Inputs -- Applications -- XCS and the Monk’s Problems -- Learning Classifier Systems Applied to Knowledge Discovery in Clinical Research Databases -- An Adaptive Agent Based Economic Model -- The Fighter Aircraft LCS: A Case of Different LCS Goals and Techniques -- Latent Learning and Action Planning in Robots with Anticipatory Classifier Systems -- The Bibliography -- A Learning Classifier Systems Bibliography.
520 ## - SUMMARY, ETC.
Summary, etc Learning Classifier Systems (LCS) are a machine learning paradigm introduced by John Holland in 1976. They are rule-based systems in which learning is viewed as a process of ongoing adaptation to a partially unknown environment through genetic algorithms and temporal difference learning. This book provides a unique survey of the current state of the art of LCS and highlights some of the most promising research directions. The first part presents various views of leading people on what learning classifier systems are. The second part is devoted to advanced topics of current interest, including alternative representations, methods for evaluating rule utility, and extensions to existing classifier system models. The final part is dedicated to promising applications in areas like data mining, medical data analysis, economic trading agents, aircraft maneuvering, and autonomous robotics. An appendix comprising 467 entries provides a comprehensive LCS bibliography.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine theory.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Formal Languages and Automata Theory.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Theory of Computation.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Lanzi, Pier L.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Stolzmann, Wolfgang.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Wilson, Stewart W.
Relator term editor.
Relator code edt
-- http://id.loc.gov/vocabulary/relators/edt
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783540677291
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783662172186
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Artificial Intelligence,
-- 2945-9141 ;
Volume number/sequential designation 1813
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://doi.org/10.1007/3-540-45027-0">https://doi.org/10.1007/3-540-45027-0</a>
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Koha item type eBooks-CSE-Springer

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