Literature DB >> 15969899

How do we evaluate artificial immune systems?

Simon M Garrett1.   

Abstract

The field of Artificial Immune Systems (AIS) concerns the study and development of computationally interesting abstractions of the immune system. This survey tracks the development of AIS since its inception, and then attempts to make an assessment of its usefulness, defined in terms of 'distinctiveness' and 'effectiveness.' In this paper, the standard types of AIS are examined--Negative Selection, Clonal Selection and Immune Networks--as well as a new breed of AIS, based on the immunological 'danger theory.' The paper concludes that all types of AIS largely satisfy the criteria outlined for being useful, but only two types of AIS satisfy both criteria with any certainty.

Mesh:

Year:  2005        PMID: 15969899     DOI: 10.1162/1063656054088512

Source DB:  PubMed          Journal:  Evol Comput        ISSN: 1063-6560            Impact factor:   3.277


  2 in total

Review 1.  Algorithms in nature: the convergence of systems biology and computational thinking.

Authors:  Saket Navlakha; Ziv Bar-Joseph
Journal:  Mol Syst Biol       Date:  2011-11-08       Impact factor: 11.429

Review 2.  A survey of artificial immune system based intrusion detection.

Authors:  Hua Yang; Tao Li; Xinlei Hu; Feng Wang; Yang Zou
Journal:  ScientificWorldJournal       Date:  2014-03-23
  2 in total

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