Towards a conceptual framework for artificial immune systems

Susan Stepney, Robert E. Smith, Jonathan Timmis, Andy M. Tyrrell

Research output: Chapter in Book/Report/Conference proceedingChapter

36 Citations (SciVal)

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 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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsGiuseppe Nicosia, Vincenzo Cutello, Peter J. Bentley, Jon Timmis
PublisherSpringer Nature
Pages53-64
Number of pages12
ISBN (Print)3540230971, 9783540230977
DOIs
Publication statusPublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3239
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • artificial immune system
  • fitness landscape
  • immune network
  • swarm algorithm
  • clonal selection algorithm

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