Summary, Conclusions, and Future Work

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.