Learning classifier system: Difference between revisions

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Reverted 1 edit by 46.39.231.134 (talk): Rv aggressive promotion of neologism, unpublished preprint. (TW)
m Early years: clean up, replaced: ISBN 0-7803-3481-7 → {{ISBN|0-7803-3481-7}} using AWB (12151)
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adaptive algorithms Reprinted in: Evolutionary computation.
The fossil record. In: David BF (ed) IEEE Press, New York
1998. {{ISBN |0-7803-3481-7}}
</ref> This first system, named '''Cognitive System One (CS-1)''' was conceived as a modeling tool, designed to model a real system (i.e. ''environment'') with unknown underlying dynamics using a population of human readable rules. The goal was for a set of rules to perform [[online machine learning]] to adapt to the environment based on infrequent payoff/reward (i.e. reinforcement learning) and apply these rules to generate a behavior that matched the real system. This early, ambitious implementation was later regarded as overly complex, yielding inconsistent results.<ref name=":1" /><ref name=":3">{{Cite journal|last=Lanzi|first=Pier Luca|date=2008-02-08|title=Learning classifier systems: then and now|url=http://link.springer.com/article/10.1007/s12065-007-0003-3|journal=Evolutionary Intelligence|language=en|volume=1|issue=1|pages=63–82|doi=10.1007/s12065-007-0003-3|issn=1864-5909}}</ref>