Susan Stepney, Robert E. Smith, Jonathan Timmis, Andy M. Tyrrell, Mark J. Neal, Andrew N. W. Hone.
Conceptual Frameworks for Artificial Immune Systems.

International Journal of Unconventional Computing . 1(3):315-338, July 2005

Abstract:

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 Artificial Immune System (AIS) network models, and we discuss mathematical techniques for analysing the state dynamics of AIS. We further propose ways to unify several domains into a common meta-framework, in the context of AIS population models. We finally discuss a case study, and 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.

@article(SS-IJUC-05,
  author = "Susan Stepney and Robert E. Smith and Jonathan Timmis and Andy M. Tyrrell
            and Mark J. Neal and Andrew N. W. Hone",
  title = "Conceptual Frameworks for Artificial Immune Systems",
  journal = "International Journal of Unconventional Computing",
  volume = 1,
  number = 3,
  pages = "315--338",
  month = jul,
  year = 2005 )