Abstract
In Chapters 12 and 13, we have looked at mechanisms that might lead to an emulation of human reasoning capabilities. We approached this problem from a macroscopic point of view. In this chapter, we shall approach the same problem from a microscopic point of view, i.e., we shall try to emulate learning mechanisms as they are believed to take place at the level of neurons of the human brain and evolutionary adaptation mechanisms as they are hypothesized to have shaped our genetic code.
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Cellier, F.E. (1991). Artificial Neural Networks and Genetic Algorithms. In: Continuous System Modeling. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3922-0_14
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DOI: https://doi.org/10.1007/978-1-4757-3922-0_14
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