Abstract
In this chapter, we introduce the reader to the scope and content of the book which is a research monograph on the artificial immune system paradigm of machine learning. The book topic falls within the, so-called, biologically motivated computing paradigm, in which biology provides the source of models and inspiration towards the development of computational intelligence and machine learning systems. Specifically, artificial immune systems are presented as a valid metaphor towards the creation of abstract and high level representations of biological components or functions. We summarize the book and outline each subsequent chapter.
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Sotiropoulos, D.N., Tsihrintzis, G.A. (2017). Introduction. In: Machine Learning Paradigms. Intelligent Systems Reference Library, vol 118. Springer, Cham. https://doi.org/10.1007/978-3-319-47194-5_1
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DOI: https://doi.org/10.1007/978-3-319-47194-5_1
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