Emergent behaviors of classifier systems
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.
- Research Organization:
- Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)
- Sponsoring Organization:
- DOE/MA
- DOE Contract Number:
- W-7405-ENG-36
- OSTI ID:
- 5575120
- Report Number(s):
- LA-UR-89-3053; CONF-8905201-3; ON: DE90000600
- Resource Relation:
- Journal Volume: 42; Journal Issue: 1-3; Conference: Conference on emergent computation, Los Alamos, NM (USA), 22-26 May 1989
- Country of Publication:
- United States
- Language:
- English
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