An introduction to artificial immune systems

Mark Read; Paul S. Andrews; Jon Timmis

doi:10.1007/978-3-540-92910-9_47

An introduction to artificial immune systems

Mark Read^*, Paul S. Andrews, Jon Timmis

^*Corresponding author for this work

Department of Computer Science

University of York

Research output: Chapter in Book/Report/Conference proceeding › Chapter

23 Citations (Scopus)

Abstract

The field of artificial immune systems (AIS) comprises two threads of research: the employment of mathematical and computational techniques in the modeling of immunology, and the incorporation of immune system metaphors in the development of engineering solutions. The former permits the integration of immunological data and sub-models into a coherent whole, which can be of value to immunologists in the facilitation of immunological understanding, hypothesis testing, and the direction of future research. The latter attempts to harness the perceived properties of the immune system in the solving of engineering problems. This chapter concentrates on the latter: the development and application of immune inspiration to engineering solutions.

Original language	English
Title of host publication	Handbook of Natural Computing
Publisher	Springer Nature
Pages	1575-1597
Number of pages	23
Volume	4-4
ISBN (Electronic)	9783540929109
ISBN (Print)	9783540929093
DOIs	https://doi.org/10.1007/978-3-540-92910-9_47
Publication status	Published - 01 Jan 2012

Keywords

unify modeling language
agent base modeling
intrusion detection system
articicial immune system
immune network

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An introduction to artificial immune systems

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Keywords

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