Inspiration for the next generation of artificial immune systems

Paul S. Andrews*, Jon Timmis

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

35 Citations (SciVal)

Abstract

In this conceptual paper, we consider the state of artificial immune system (AIS) design today, and the nature of the immune theories on which they are based. We highlight the disagreement amongst many immunologists regarding the concept of self-non-self discriminations in the immune system, and go on describe on such model that removes altogether the requirement for self-non-self discrimination. We then identify the possible inspiration ideas for AIS that can be gained from such new, and often radical, models of the immune system. Next, we outline a possible approach to designing AIS that are inspired by new immune theories, following a suitable methodology and selecting appropriate modelling tools. Lastly, we follow our approach and present an example of how the AIS designer might take inspiration from a specific property of a new immune theory. This example highlights our proposed method for inspiring the design of the next generation of AIS.

Original languageEnglish
Title of host publicationArtificial Immune Systems
Subtitle of host publication4th International Conference, ICARIS 2005, Banff, Alberta, Canada, August 14-17, 2005, Proceedings
EditorsChristian Jacob, Marcin L. Pilat, Peter J. Bentley, Jonathan I. Timmis
PublisherSpringer Nature
Pages126-138
Number of pages13
Volume3627
DOIs
Publication statusPublished - 2005
Event4th International Conference on Artificial Immune Systems, ICARIS 2005 - Banff, Alta., Canada
Duration: 14 Aug 200517 Aug 2005

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Nature
ISSN (Print)0302-9743

Conference

Conference4th International Conference on Artificial Immune Systems, ICARIS 2005
Country/TerritoryCanada
CityBanff, Alta.
Period14 Aug 200517 Aug 2005

Keywords

  • boolean network
  • immune process
  • immune receptor
  • immune agent
  • idiotypic network

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