Antigens, antibodies, and the world wide web

Daniel Stow, Chris Roadknight

Research output: Chapter in Book/Conference proceedingBook Chapterpeer-review

Abstract

In this report the immune system and its adaptive properties are described and a simple artificial immune system (AIS) model based on the clonal selection theory is presented. This immune system model is demonstrated to be capable of learning the structure of novel antigens, of memory for previously encountered antigens, and of being able to use its memory to respond more efficiently to antigens related to ones it has previously seen (cross-reactivity). The learning, memory and cross-reactivity of the AIS are fruitfully applied to the problem of fuzzy resource identification. Interesting antigen/antibody relationships are also identified.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages161-165
Number of pages5
Volume2159
DOIs
Publication statusPublished - 2001
Externally publishedYes

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)

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