Abstract
Classifier systems can be used to model agents that learn to model their own worlds. These agents can build up linked chains of actions that culminate in reward and can even develop the capacity to plan future actions on the basis of expectations of consequences.
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© 1994 Springer Science+Business Media Dordrecht
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Lane, D.A. (1994). Classifier Systems: Models for Learning Agents. In: Grassberger, P., Nadal, JP. (eds) From Statistical Physics to Statistical Inference and Back. NATO ASI Series, vol 428. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-1068-6_17
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DOI: https://doi.org/10.1007/978-94-011-1068-6_17
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