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Artificial Immune Systems

8th International Conference, ICARIS 2009, York, UK, August 9-12, 2009, Proceedings

  • Conference proceedings
  • © 2009

Overview

Editors:
  1. Paul S. Andrews

    1. Department of Computer Science, University of York, Heslington, UK

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  2. Jon Timmis

    1. Departments of Computer Science and Electronics, University of York, Heslington, UK

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  3. Nick D. L. Owens

    1. Department of Electronics, University of York, Heslington, UK

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  4. Uwe Aickelin

    1. School of Computer Science, University of Nottingham, Nottingham, UK

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  5. Emma Hart

    1. School of Computing, Napier University, Edinburgh, UK

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  6. Andrew Hone

    1. Institute of Mathematics, Statistics and Actuarial Science, University of Kent, Canterbury, UK

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  7. Andy M. Tyrrell

    1. Department of Electronics, University of York, Heslington, UK

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5666)

Part of the book sub series: Theoretical Computer Science and General Issues (LNTCS)

Included in the following conference series:

Conference proceedings info: ICARIS 2009.

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Table of contents (30 papers)

  1. Front Matter

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  2. Immune System Modeling

    1. Agent Based Modeling of Lung Metastasis-Immune System Competition

      • Marzio Pennisi, Francesco Pappalardo, Santo Motta
      Pages 1-3

    2. Using UML to Model EAE and Its Regulatory Network

      • Mark Read, Jon Timmis, Paul S. Andrews, Vipin Kumar
      Pages 4-6

    3. Non-deterministic Explanation of Immune Responses: A Computer Model

      • Anastasio Salazar-Bañuelos
      Pages 7-10

    4. Dendritic Cell Trafficking: From Immunology to Engineering

      • Emma Hart, Despina Davoudani
      Pages 11-13

    5. A Hybrid Agent Based and Differential Equation Model of Body Size Effects on Pathogen Replication and Immune System Response

      • Soumya Banerjee, Melanie E. Moses
      Pages 14-18

    6. Nonself Detection in a Two-Component Cellular Frustrated System

      • F. Vistulo de Abreu, P. Mostardinha
      Pages 19-21

    7. Questions of Function: Modelling the Emergence of Immune Response

      • Tom Hebbron, Jason Noble
      Pages 22-26

    8. Object-Oriented Refactoring of Existing Immune Models

      • Hugues Bersini
      Pages 27-40

    9. Mathematical Model of HIV Superinfection and Comparative Drug Therapy

      • Anil Sorathiya, Pietro Liò, Luca Sguanci
      Pages 41-53

  3. Theoretical Aspects of Artificial Immune Systems

    1. Exploration of the Dendritic Cell Algorithm Using the Duration Calculus

      • Feng Gu, Julie Greensmith, Uwe Aickelin
      Pages 54-66

    2. On AIRS and Clonal Selection for Machine Learning

      • Chris McEwan, Emma Hart
      Pages 67-79

    3. A Theoretical Analysis of Immune Inspired Somatic Contiguous Hypermutations for Function Optimization

      • Thomas Jansen, Christine Zarges
      Pages 80-94

    4. Comparing Different Aging Operators

      • Thomas Jansen, Christine Zarges
      Pages 95-108

    5. Efficient Algorithms for String-Based Negative Selection

      • Michael Elberfeld, Johannes Textor
      Pages 109-121

    6. T Cell Receptor Signalling Inspired Kernel Density Estimation and Anomaly Detection

      • Nick D. L. Owens, Andy Greensted, Jon Timmis, Andy Tyrrell
      Pages 122-135

  4. Applied Artificial Immune Systems

    1. An Immuno-engineering Approach for Anomaly Detection in Swarm Robotics

      • HuiKeng Lau, Iain Bate, Jon Timmis
      Pages 136-150

    2. An Immune-Inspired Approach to Qualitative System Identification of the Detoxification Pathway of Methylglyoxal

      • Wei Pang, George M. Coghill
      Pages 151-164

    3. Application of AIS Based Classification Algorithms to Detect Overloaded Areas in Power System Networks

      • N. C. Woolley, J. V. Milanović
      Pages 165-177

    4. Artificial Immune System Applied to the Multi-stage Transmission Expansion Planning

      • Leandro S. Rezende, Armando M. Leite da Silva, Leonardo de Mello Honório
      Pages 178-191
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  1. Artificial Immune Systems

Keywords

About this book

Arti?cial immune systems (AIS) is a diverse and maturing area of research that bridges the disciplines of immunology and engineering. The scope of AIS ranges fromimmune-inspiredalgorithmsandengineeringsolutionsinsoftwareandha- ware, to the understanding of immunology through modeling and simulation of immune system concepts. AIS algorithms have been applied to a wide variety of applications, including computer security, fault tolerance, data mining and optimization. In addition, theoretical aspects of arti?cial and real immune s- tems have been the subject of mathematical and computational models and simulations. The 8th InternationalConference on AIS (ICARIS 2009)built on the success of previous years, providing a forum for a diverse group of AIS researchers to present and discuss their latest results and advances. After two years outside Europe, ICARIS 2009 returned to England, the venue for the ?rst ICARIS back in 2002. This year’s conference was located in the historic city of York, and was held in St. William’s College, the conference venue of York Minster, northern Europe’s largest Gothic cathedral.

Editors and Affiliations

  • Department of Computer Science, University of York, Heslington, UK

    Paul S. Andrews

  • Departments of Computer Science and Electronics, University of York, Heslington, UK

    Jon Timmis

  • Department of Electronics, University of York, Heslington, UK

    Nick D. L. Owens, Andy M. Tyrrell

  • School of Computer Science, University of Nottingham, Nottingham, UK

    Uwe Aickelin

  • School of Computing, Napier University, Edinburgh, UK

    Emma Hart

  • Institute of Mathematics, Statistics and Actuarial Science, University of Kent, Canterbury, UK

    Andrew Hone

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