Artificial immune systems (AIS) are a class of rule-based machine learning systems inspired by the principles and processes of the vertebrate immune system. The algorithms are typically modeled after the immune system's characteristics of learning and memory for problem-solving, specifically for the computational techniques called Evolutionary Computation and Amorphous Computation.
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