Emergent behaviors of classifier systems

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This paper discusses some examples of emergent behavior in classifier systems, describes some recently developed methods for studying them based on dynamical systems theory, and presents some initial results produced by the methodology. The goal of this work is to find techniques for noticing when interesting emergent behaviors of classifier systems emerge, to study how such behaviors might emerge over time, and make suggestions for designing classifier systems that exhibit preferred behaviors. 20 refs., 1 fig.

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Pages: (19 p)

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Forrest, S. & Miller, J.H. January 1, 1989.

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Description

This paper discusses some examples of emergent behavior in classifier systems, describes some recently developed methods for studying them based on dynamical systems theory, and presents some initial results produced by the methodology. The goal of this work is to find techniques for noticing when interesting emergent behaviors of classifier systems emerge, to study how such behaviors might emerge over time, and make suggestions for designing classifier systems that exhibit preferred behaviors. 20 refs., 1 fig.

Physical Description

Pages: (19 p)

Notes

NTIS, PC A03/MF A01 - OSTI; GPO Dep.

Source

  • Conference on emergent computation, Los Alamos, NM (USA), 22-26 May 1989

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  • Other: DE90000600
  • Report No.: LA-UR-89-3053
  • Report No.: CONF-8905201--3
  • Grant Number: W-7405-ENG-36
  • Office of Scientific & Technical Information Report Number: 5575120
  • Archival Resource Key: ark:/67531/metadc1092810

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  • January 1, 1989

Added to The UNT Digital Library

  • Feb. 10, 2018, 10:06 p.m.

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  • May 22, 2018, 1:42 p.m.

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Forrest, S. & Miller, J.H. Emergent behaviors of classifier systems, article, January 1, 1989; New Mexico. (digital.library.unt.edu/ark:/67531/metadc1092810/: accessed July 22, 2018), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.