Towards a conceptual framework for artiflcial immune systems

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 publicationARTIFICIAL IMMUNE SYSTEMS, PROCEEDINGS
EditorsG Nicosia, V Cutello, PJ Bentley, J Timmis
Place of PublicationBERLIN
PublisherSpringer
Pages53-64
Number of pages12
ISBN (Print)3-540-23097-1
Publication statusPublished - 2004
Event3rd International Conference on Artificial Immune Systems - Catania
Duration: 13 Sept 200416 Sept 2004

Conference

Conference3rd International Conference on Artificial Immune Systems
CityCatania
Period13/09/0416/09/04

Keywords

  • NETWORK THEORY
  • SELF
  • NONSELF
  • MEMORY
  • MODEL

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