Definition
Artificial immune systems (AIS) have emerged as a computational intelligence approach that shows great promise. Inspired by the complexity of the immune system, computer scientists and engineers have created systems that in some way mimic or capture certain computationally appealing properties of the immune system, with the aim of building more robust and adaptable solutions. AIS have been defined by de Castro and Timmis (2002) as:
adaptive systems, inspired by theoretical immunology and observed immune functions, principle and models, which are applied to problem solving
AIS are not limited to machine learning systems, there are a wide variety of other areas in which AIS are developed such as optimization, scheduling, fault tolerance, and robotics (Hart & Timmis, 2008). Within the context of machine learning, both supervised and unsupervised approaches have been developed....
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Timmis, J. (2011). Artificial Immune Systems. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-30164-8_33
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DOI: https://doi.org/10.1007/978-0-387-30164-8_33
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