Abstract
Baldwinian evolution and Lamarckism hold that behaviour is not evolved solely through genetics, but also through learning. In Baldwinian evolution, learned behaviour causes changes only to the fitness landscape, whilst in Lamarckism, learned behaviour also causes changes to the parents’ genotypes. Although the biological plausibility of these positions remains arguable, they provide a potentially useful framework for the construction of artificial systems. As an example, we describe the use of Baldwinian and Lamarckian evolution in the design of the hidden layer of a RBF network.
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Giraud-Carrier, C. (2002). Unifying Learning with Evolution Through Baldwinian Evolution and Lamarckism. In: Zimmermann, HJ., Tselentis, G., van Someren, M., Dounias, G. (eds) Advances in Computational Intelligence and Learning. International Series in Intelligent Technologies, vol 18. Springer, Dordrecht. https://doi.org/10.1007/978-94-010-0324-7_11
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DOI: https://doi.org/10.1007/978-94-010-0324-7_11
Publisher Name: Springer, Dordrecht
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