The Resource Meta-learning computational intelligence architectures, by Ryan James Meuth, (electronic resource)

Meta-learning computational intelligence architectures, by Ryan James Meuth, (electronic resource)

Label
Meta-learning computational intelligence architectures
Title
Meta-learning computational intelligence architectures
Statement of responsibility
by Ryan James Meuth
Creator
Subject
Genre
Language
eng
Summary
"In computational intelligence, the term 'memetic algorithm' has come to be associated with the algorithmic pairing of a global search method with a local search method. In a sociological context, a 'meme' has been loosely defined as a unit of cultural information, the social analog of genes for individuals. Both of these definitions are inadequate, as 'memetic algorithm' is too specific, and ultimately a misnomer, as much as a 'meme' is defined too generally to be of scientific use. In this dissertation the notion of memes and meta-learning is extended from a computational viewpoint and the purpose, definitions, design guidelines and architecture for effective meta-learning are explored. The background and structure of meta-learning architectures is discussed, incorporating viewpoints from psychology, sociology, computational intelligence, and engineering. The benefits and limitations of meme-based learning are demonstrated through two experimental case studies -- Meta-Learning Genetic Programming and Meta- Learning Traveling Salesman Problem Optimization. Additionally, the development and properties of several new algorithms are detailed, inspired by the previous case-studies. With applications ranging from cognitive science to machine learning, meta-learning has the potential to provide much-needed stimulation to the field of computational intelligence by providing a framework for higher order learning"--Abstract, p. iii
Related
Cataloging source
UMR
http://library.link/vocab/creatorDate
1982-
http://library.link/vocab/creatorName
Meuth, Ryan James
Degree
Ph. D.
Dissertation year
2009.
Granting institution
Missouri University of Science and Technology
Illustrations
illustrations
Index
no index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
  • theses
http://library.link/vocab/subjectName
  • Evolutionary computation
  • Genetic algorithms
  • Computational intelligence
  • Traveling salesman problem
  • Genetic programming (Computer science)
Target audience
specialized
Label
Meta-learning computational intelligence architectures, by Ryan James Meuth, (electronic resource)
Instantiates
Publication
Note
  • Vita
  • The entire thesis text is included in file
  • Title from title screen of thesis/dissertation PDF file (viewed January 5, 2010)
Bibliography note
Includes bibliographical references (pages 152-159)
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
black and white
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Control code
495850862
Dimensions
unknown
Extent
1 online resource (xiv, 160 pages)
Form of item
electronic
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations, digital, PDF file.
Specific material designation
remote
System control number
(OCoLC)495850862
System details
  • System requirements: Adobe Acrobat Reader; Internet browser
  • Mode of access: World Wide Web
Label
Meta-learning computational intelligence architectures, by Ryan James Meuth, (electronic resource)
Publication
Note
  • Vita
  • The entire thesis text is included in file
  • Title from title screen of thesis/dissertation PDF file (viewed January 5, 2010)
Bibliography note
Includes bibliographical references (pages 152-159)
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Color
black and white
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Control code
495850862
Dimensions
unknown
Extent
1 online resource (xiv, 160 pages)
Form of item
electronic
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
illustrations, digital, PDF file.
Specific material designation
remote
System control number
(OCoLC)495850862
System details
  • System requirements: Adobe Acrobat Reader; Internet browser
  • Mode of access: World Wide Web

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