Artificial Immune Systems

1. Front Matter

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2. Immune System Modelling

   1. A Petri Net Model of Granulomatous Inflammation

      • Luca Albergante, Jon Timmis, Paul Andrews, Lynette Beattie, Paul M. Kaye

      Pages 1-3

   2. Defining a Simulation Strategy for Cancer Immunocompetence

      • Grazziela P. Figueredo, Uwe Aickelin

      Pages 4-17

3. Theoretical Artificial Immune Systems

   1. Clonal Selection from First Principles

      • Chris McEwan, Emma Hart

      Pages 18-32

   2. Density Preservation and Vector Quantization in Immune-Inspired Algorithms

      • Alisson G. Azzolini, Ricardo P. V. Violato, Fernando J. Von Zuben

      Pages 33-46

   3. Immune Inspired Information Filtering in a High Dimensional Space

      • Nikolaos Nanas, Stefanos Kodovas, Manolis Vavalis, Elias Houstis

      Pages 47-60

   4. On the Benefits of Aging and the Importance of Details

      • Thomas Jansen, Christine Zarges

      Pages 61-74

   5. Classifying in the Presence of Uncertainty: A DCA Perspective

      • Robert Oates, Graham Kendall, Jonathan M. Garibaldi

      Pages 75-87

   6. Insights into the Antigen Sampling Component of the Dendritic Cell Algorithm

      • Chris. J. Musselle

      Pages 88-101

   7. FDCM: A Fuzzy Dendritic Cell Method

      • Zeineb Chelly, Zied Elouedi

      Pages 102-115

   8. Modular RADAR: An Immune System Inspired Search and Response Strategy for Distributed Systems

      • Soumya Banerjee, Melanie Moses

      Pages 116-129

4. Applied Artificial Immune Systems

   1. A Faster Clonal Selection Algorithm for Expensive Optimization Problems

      • Heder S. Bernardino, Helio J. C. Barbosa, Leonardo G. Fonseca

      Pages 130-143

   2. An Information-Theoretic Approach for Clonal Selection Algorithms

      • Vincenzo Cutello, Giuseppe Nicosia, Mario Pavone, Giovanni Stracquadanio

      Pages 144-157

   3. Antibodies with Adaptive Radius as Prototypes of High-Dimensional Datasets

      • Ricardo P. V. Violato, Alisson G. Azzolini, Fernando J. Von Zuben

      Pages 158-170

   4. GAIS: A Gaussian Artificial Immune System for Continuous Optimization

      • Pablo A. D. Castro, Fernando J. Von Zuben

      Pages 171-184

   5. An Immune Algorithm for Minimum Interference Channel Assignment in Multi-radio Wireless Mesh Networks

      • Su-Wei Tan

      Pages 185-198

   6. A Developmental and Immune-Inspired Dynamic Task Allocation Algorithm for Microprocessor Array Systems

      • Yang Liu, Jon Timmis, Omer Qadir, Gianluca Tempesti, Andy Tyrrell

      Pages 199-212

   7. An Immunological Algorithm for Doping Profile Optimization in Semiconductors Design

      • Giovanni Stracquadanio, Concetta Drago, Vittorio Romano, Giuseppe Nicosia

      Pages 213-222

   8. QML-AiNet: An Immune-Inspired Network Approach to Qualitative Model Learning

      • Wei Pang, George M. Coghill

      Pages 223-236

   9. Biomedical Article Classification Using an Agent-Based Model of T-Cell Cross-Regulation

      • Alaa Abi-Haidar, Luis M. Rocha

      Pages 237-249

Arti?cial immune systems (AIS) is a diverse and maturing area of research that bridges the disciplines of immunology and computation. The original research impetus in AIS had a clear focus on applying immunological principles to c- putationalproblemsinpracticaldomainssuchascomputersecurity,datamining and optimization. As the ?eld has matured, it has diversi?ed such that we now see a growing interest in formalizing the theoretical properties of earlier - proaches, elaborating underlying relationships between applied computational models and those from theoretical immunology, as well a return to the roots of the domain in which the methods of computer science are being applied to - munological modelling problems. Following the trends in the ?eld, the ICARIS conference intends to provide a forum for all these perspectives. The 9th InternationalConference on AIS (ICARIS 2010)built on the success of previous years, providing a convenient vantage point for broader re?ection as it returned to Edinburgh, the venue of the Second ICARIS in 2003. This time, the conference was hosted by Edinburgh Napier University at its Craiglockhart Campus, recently reopened after extensive refurbishment which has resulted in a stunning building and state-of-the-art facilities. The extent to which the ?eld has matured over the preceding years is clear; a substantial track of theor- ical research now underpins the discipline. The applied stream has expanded in its outlook, and has examples of AIS algorithms being applied across a wide spectrum of practicalproblems,rangingfrom sensornetworksto semi-conductor design.

• Simulation
• algorithms
• antibodies
• artificial chemistry
• bioinformatics
• classification
• computational immunology
• filtering
• genetic algorithms
• genetic programming
• immune systems
• immunoinformatics
• model
• modeling
• robotics
• algorithm analysis and problem complexity

• Centre for Emergent Computing, Napier University, Edinburgh, UK

  Emma Hart, Chris McEwan

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

  Jon Timmis

• School of Mathematics, Statistics and Actuarial Science, University of Kent, Kent, UK

  Andy Hone

Policies and ethics