We propose that bio-inspired algorithms are best developed and analysed in the context of a multidisciplinary conceptual framework that provides for sophisticated biological models and well-founded analytical principles, and we outline such a framework here, in the context of AIS network models. We further propose ways to unify several domains into a common meta-framework, in the context of AIS population models. We finally hint at the possibility of a novel instantiation of such a meta-framework, thereby allowing the building of a specific computational framework that is inspired by biology, but not restricted to any one particular biological domain. © Springer-Verlag 2004.
CITATION STYLE
Stepney, S., Smith, R. E., Timmis, J., & Tyrrell, A. M. (2004). Towards a conceptual framework for artificial immune systems. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3239, 53–64. https://doi.org/10.1007/978-3-540-30220-9_5
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