Top

Soft Computing

Published in:

01-09-2009 | Original Paper

Design principles of adaptive cellular immunity for artificial immune systems

Author: Hugo Antonius van den Berg

Published in: Soft Computing | Issue 11/2009

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

Artificial immune systems (AISs) have been proposed as a new computing paradigm. This paper reviews design principles of adaptive cellular immunity, based on the immunological literature rather than the simplified mathematical models which have thus far dominated the development of framework for design, interpretation, and application of AISs.

previous article On very true operators on pocrims

next article MV-pairs and states

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Aickelin U, Cayzer S (2003) The danger theory and its application to artificial immune systems. In: Timmis et al. [41], pp 141–148

Ayara M, Timmis J, de Lemos R, de Castro LN, Duncan R (2002) Negative selection: How to generate detectors. In: Timmis and Bentley [40], pp 89–98

van den Berg HA, Kiselev YN (2004) Expansion and contraction of the cytotoxic T lymphocyte response—an optimal control approach. Bull Math Biol 66:1345–1369CrossRefMathSciNet

van den Berg HA, Rand DA (2003) Antigen presentation on MHC molecules as a diversity filter that enhances immune efficacy. J Theor Biol 224:249–267CrossRef

van den Berg HA, Rand DA (2004a) Dynamics of T cell activation threshold tuning. J Theor Biol 228:397–416CrossRef

van den Berg HA, Rand DA (2004b) Foreigness as a matter of degree: the relative immunogenicity of peptide/MHC ligands. J Theor Biol 231:535–548CrossRef

van den Berg HA, Rand DA (2007) Quantitative theories of T-cell responsiveness. Immunol Rev 216:81–92

van den Berg HA, Rand DA, Burroughs NJ (2001) A reliable and safe T cell repertoire based on low-affinity T cell receptors. J Theor Biol 209:465–486CrossRef

Bersini H (2003) Self-assertion versus self-recognition: a tribute to Francisco Varela. In: Timmis et al. [41], pp 107–112

Bongrand P, Malissen B (1998) Quantitative aspects of T-cell recognition: from within the antigen-presenting cell to within the T cell. BioEssays 20:412–422CrossRef

Burroughs N, Kesmir C, de Boer R (2004) Discriminating self from nonself with short peptides from large proteomes. Immunogenetics 56:311–320CrossRef

Czerwinski M, Cage D, Gemmell J, Catarci T, Marshall CC, Perez-Quinones M, Skeels MM (2006) Digital memories in an era of ubiquitous computing and abundant storage. Commun ACM 49:44–50CrossRef

Davis SJ, Ikemizu S, Evans EJ, Fugger L, Bakker TR, van der Merwe PA (2003) The nature of molecular recognition by T cells. Nat Immunol 4:1–8CrossRef

de Castro LN, Timmis JI (2003) Artificial immune systems as a novel soft computing paradigm. Soft Comput 7(8):526–544

de Castro LN, von Zuben FJ (eds) (2005) Recent developments in biologically inspired computing. Idea Group, January 2005

Dunkin MA (1999) A maverick researcher bucks the establishment. In: Arthritis today magazine, March–April 1999

Gallucci S, Matzinger P (2001) Danger signals: SOS to the immune system. Curr Opin Immunol 13:114–119CrossRef

Goldberg DE (1988) Genetic algorithms in search, optimization and machine learning. Addison Wesley, Reading

Goldrath AW, Bevan MJ (1999) Selecting and maintaining a diverse T-cell repertoire. Nature 402:255–262CrossRef

Goldstein B, Faeder JR, Hlavacek W (2004) Mathematical and computational models of immune-receptor signalling. Nat Rev Immunol 4:445–456CrossRef

González F, Dasgupta D (2003) Neuro-immune and self-organizing map approaches to anomaly detection: a comparison. In: Timmis et al. [41], pp 203–211

Hershberg U, Efroni S (2001) The immune system and other cognitive systems. Complexity 6:14–21CrossRef

Hone A, van den Berg HA (2007) Mathematical analysis of artificial immune system dynamics and performance. In: Flower D, Timmis J (eds) Silico immunology. Springer, Heidelberg

Lanzavecchia A, Sallusto F (2000) Dynamics of T lymphocyte responses: intermediates, effectors, and memory cells. Science 290:92–97CrossRef

Lanzi PL (2008) Learning classifier systems: then and now. Evol Intel 1:63–82CrossRef

Matzinger P (2001) Essay 1: the danger model in its historical context. Scand J Immunol 54:4–9CrossRef

Miller JFAP, Kurts C, Allison J, Kosaka H, Carbone F, Heath WR (1998) Induction of peripheral CD 8⁺ T cell tolerance by cross-presentation of self antigens. Immunol Rev 165:267–277CrossRef

Müller V, Bonhoeffer S (2003) Quantitative constraints on the scope of negative selection. TRENDS Immunol 24:132–135CrossRef

Neal M, Timmis J (2005) Once more unto the breach: towards artifical homeostasis? In: de Castro, von Zuben [15], pp 340–365

Nicosia G, Cutello V, Bentley P, Timmis J (eds) (2004) Third international conference on artificial immune systems, September 2004. Lecture Notes in Computer Science, vol 3239. Springer, Heidelberg

Perelson AS, Oster GF (1979) Theoretical studies of clonal selection: minimal antibody repertoire size and reliability of self-non-self discrimination. J Theor Biol 81:645–670CrossRefMathSciNet

Rojas R (1996) Neural networks: a systematic introduction. Springer, Heidelberg

Roncarolo M-G, Levings MK (2000) The role of different subsets of T regulatory cells in controlling autoimmunity. Curr Opin Immunol 12:676–683CrossRef

Sansom DM (2000) CD28, CTLA-4 and their ligands: Who does what and to whom? Immunology 101:169–177CrossRef

Simon HA (1996) The sciences of the artificial, 3rd edn. MIT Press, Cambridge

Stepney S (2007) Embodiment. In: Flower D, Timmis J (eds) Silico immunology. Springer, Heidelberg, pp 265–288CrossRef

Stepney S, Smith RE, Timmis J, Tyrell AM (2004) Towards a conceptual framework for artificial immune systems. In Nicosia et al. [30], pp 53–64

Stevanović S, Schild H (1999) Quantitative aspects of T cell activation—peptide generation and editing by MHC class I molecule. Semin Immunol 11:375–384CrossRef

Timmis J, Andrews P, Owens N, Clark E (2008) An interdisciplinary perspective on artificial immune systems. Evol Intel 1:5–26CrossRef

Timmis J, Bentley P (eds) (2002) 1st International conference on artificial immune systems. University of Kent at Canterbury, September 2002

Timmis J, Bentley P, Hart E (eds) (2003) Proceedings of the 2nd international conference on artificial immune systems, September 2003. Lecture Notes in Computer Science, vol 2787. Springer, Heidelberg

Title: Design principles of adaptive cellular immunity for artificial immune systems
Author: Hugo Antonius van den Berg
Publication date: 01-09-2009
Publisher: Springer-Verlag
Published in: Soft Computing / Issue 11/2009
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI: https://doi.org/10.1007/s00500-008-0380-2

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Wirtschaft"

Springer Professional "Technik"

Other articles of this Issue 11/2009

Kendall’s correlation coefficient for vague preferences

Fuzzy boundary layer tuning for sliding mode systems as applied to the control of a direct drive robot

Computational complexities of axiomatic extensions of monoidal t-norm based logic

Inductive semimodules and the vector modules over them

Self-spawning neuro-fuzzy system for rule extraction

Monte Carlo methods in fuzzy queuing theory

Premium Partner