Abstract
The purpose of this work is to show the strong connection between learning in the limit and the second-order adaptive automaton. The connection is established using the mutating programs approach, in which any hypothesis can be used to start a learning process, and produces a correct final model following a step-by-step transformation of that hypothesis by a second-order adaptive automaton. Second-order adaptive automaton learner will be proved to acts as a learning in the limit one. © 2013 Springer-Verlag Berlin Heidelberg.
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Inojosa Da Silva Filho, R., De Azevedo Da Rocha, R. L., & Gracini Guiraldelli, R. H. (2013). Learning in the limit: A mutational and adaptive approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7070 LNAI, pp. 106–118). Springer Verlag. https://doi.org/10.1007/978-3-642-44958-1_8
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