Abstract
The Natural Immune System (NIS) is a distributed, multi-layered, adaptive, dynamic, and life-long learning system. The Artificial Immune System (AIS) is a computational system inspired by the principles and processes of the NIS. The field of AIS has obtained some degree of success as a branch of computational intelligence since it emerged in the 1990s. In this paper, we review the models and applications proposed in the last few years. In addition, we present some challenges that the AIS is facing to really distinguish itself from other established systems, in particular, biology-inspired systems (e.g., artificial neural networks and evolutionary algorithms).
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