Summary, Conclusions, and Future Work

  • Martin V. Butz
Part of the Genetic Algorithms and Evolutionary Computation book series (GENA, volume 4)


This work introduced an anticipatory learning classifier system, namely ACS2. The system autonomously evolves an internal environmental model represented by a population of condition-action-effect classifiers. That is, without any supervision, ACS2 is acting upon an environment and is forming a model of the encountered environment meanwhile. Although the interaction is unsupervised, the resulting state after the execution of an action can be viewed as a supervision, so that the model learning mechanism might be termed implicitly supervised. After a summary of the presented work, this chapter concludes the book with a discussion of possible future work with ACS2.


Reinforcement Learning Condition Part Effect Part Attentional Mechanism Motivational Module 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media New York 2002

Authors and Affiliations

  • Martin V. Butz
    • 1
  1. 1.University of WürzburgGermany

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