Titlebook: Anticipatory Learning Classifier Systems; Martin V. Butz Book 2002 Springer Science+Business Media New York 2002 agents.algorithms.behavio

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Experiments with ACS2,hat the GA is any good. The GA could be too strong, which would result in a disruption of the model evolution and an over-generalized population, or too weak, which would result in a larger, still over-specialized population. It is examined if the GA is able to overcome the observed over-specializat

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Limits,ent tasks showing that ACS2 is indeed capable of forming a generalized, complete model of an environment. Genetic generalization showed to be able to remedy the possibly occurring over-specializations in the ALP. The result was a decrease in population size and model size and a consequent decrease i

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Summary, Conclusions, and Future Work,n-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

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Geruchs-orientierte Partnerwahl bei V?geln und ihre Relevanz für die arterhaltende Vogelzucht-Genen bestimmt die individuelle Kompetenz des Immunsystems eines Individuums. Ferner dient der individuelle MHC-Geruch zur sozialen Orientierung innerhalb einer artgleichen Vogelgruppe. Die Kenntnis dieser neuen, wissenschaftlich fundierten Daten kann deshalb bei der arterhaltenden Wildvogelzucht v

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978-3-031-37673-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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Introduction,n, like the unit disk or the upper half-plane, onto the problem region, whereas in the other it is from the problem region onto a standard region. In the former case one solves a nonlinear integral equation involving the conjugate operator (e.g., Theodorsen’s integral equation), by fast Fourier tran