A beginners guide to artificial immune systems

Jon Timmis, Paul Andrews

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Citations (SciVal)

Abstract

Artificial Immune Systems (AIS) have recently emerged as a computational intelligence approach that show great promise. Inspired by the complexity of the immune system, computer scientists and engineers have created systems that in some way mimic or capture certain computationally appealing properties of the immune system, with the aim of building more robust and adaptable solutions. In this chapter, we will explore the basics of AIS, charting their brief history, and outlining what type of immunology has served as inspiration. We will see that different immune processes and ideas have been captured within simple artificial systems, each with their own dynamics and application niches. As a final note, we then outline considerations that need to be borne in mind when building your own AIS.

Original languageEnglish
Title of host publicationIn Silico Immunology
PublisherSpringer Nature
Pages47-62
Number of pages16
ISBN (Electronic)9780387392417
ISBN (Print)0387392386, 9780387392387
DOIs
Publication statusPublished - 2007

Keywords

  • negative selection
  • clonal selection
  • artificial immune system
  • shape space
  • immune network

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