Artificial Immune Systems

1. Front Matter

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2. Computer Simulation of Classical Immunology

   1. Did Germinal Centers Evolve Under Differential Effects of Diversity vs Affinity?

      • Jose Faro, Jaime Combadao, Isabel Gordo

      Pages 1-8

   2. Modelling the Control of an Immune Response Through Cytokine Signalling

      • Thiago Guzella, Tomaz Mota-Santos, Joaquim Uchôa, Walmir Caminhas

      Pages 9-22

   3. Modeling Influenza Viral Dynamics in Tissue

      • Catherine Beauchemin, Stephanie Forrest, Frederick T. Koster

      Pages 23-36

   4. Cellular Frustration: A New Conceptual Framework for Understanding Cell-Mediated Immune Responses

      • F. Vistulo de Abreu, E. N. M. Nolte‘Hoen, C. R. Almeida, D. M. Davis

      Pages 37-51

   5. The Swarming Body: Simulating the Decentralized Defenses of Immunity

      • Christian Jacob, Scott Steil, Karel Bergmann

      Pages 52-65

3. Computer Simulation of Idiotypic Network

   1. Analysis of a Growth Model for Idiotypic Networks

      • Emma Hart

      Pages 66-80

   2. Randomly Evolving Idiotypic Networks: Analysis of Building Principles

      • Holger Schmidtchen, Ulrich Behn

      Pages 81-94

   3. The Idiotypic Network with Binary Patterns Matching

      • Krzysztof Trojanowski, Marcin Sasin

      Pages 95-108

   4. Tolerance vs Intolerance: How Affinity Defines Topology in an Idiotypic Network

      • Emma Hart, Hugues Bersini, Francisco Santos

      Pages 109-121

4. ImmunoInformatics Conceptual Papers

   1. On Permutation Masks in Hamming Negative Selection

      • Thomas Stibor, Jonathan Timmis, Claudia Eckert

      Pages 122-135

   2. Gene Libraries: Coverage, Efficiency and Diversity

      • Steve Cayzer, Jim Smith

      Pages 136-149

   3. Immune System Modeling: The OO Way

      • Hugues Bersini

      Pages 150-163

   4. A Computational Model of Degeneracy in a Lymph Node

      • Paul S. Andrews, Jon Timmis

      Pages 164-177

   5. Structural Properties of Shape-Spaces

      • Werner Dilger

      Pages 178-192

5. Pattern Recognition Type of Application

   1. Integrating Innate and Adaptive Immunity for Intrusion Detection

      • Gianni Tedesco, Jamie Twycross, Uwe Aickelin

      Pages 193-202

   2. A Comparative Study on Self-tolerant Strategies for Hardware Immune Systems

      • Xin Wang, Wenjian Luo, Xufa Wang

      Pages 203-214

   3. On the Use of Hyperspheres in Artificial Immune Systems as Antibody Recognition Regions

      • Thomas Stibor, Jonathan Timmis, Claudia Eckert

      Pages 215-228

   4. A Heuristic Detector Generation Algorithm for Negative Selection Algorithm with Hamming Distance Partial Matching Rule

      • Wenjian Luo, Zeming Zhang, Xufa Wang

      Pages 229-243

   5. A Novel Approach to Resource Allocation Mechanism in Artificial Immune Recognition System: Fuzzy Resource Allocation Mechanism and Application to Diagnosis of Atherosclerosis Disease

      • Kemal Polat, Sadık Kara, Fatma Latifoğlu, Salih Güneş

      Pages 244-255

ICARIS 2006 is the ?fth instance of a series of conferences dedicated to the comprehension and the exploitation of immunological principles through their translation into computational terms. All scienti?c disciplines carrying a name that begins with “arti?cial” (followed by “life,” “reality,” “intelligence” or “- munesystem”) aresimilarlysu?ering froma veryambiguousidentity.Their axis of research tries to stabilize an on-going identity somewhere in the crossroad of engineering (building useful artifacts), natural sciences (biologyor psychology— improving the comprehension and prediction of natural phenomena) and t- oretical computer sciences (developing and mastering the algorithmic world). Accordingly and depending on which of these perspectives receives more s- port, they attempt at attracting di?erent kinds of scientists and at stimul- ing di?erent kinds of scienti?c attitudes. For many years and in the previous ICARIS conferences, it was clearly the “engineering” perspective that was the most represented and prevailed through the publications. Indeed, since the o- gin of engineering and technology, nature has o?ered a reserve of inexhaustible inspirations which have stimulated the development of useful artifacts for man. Biology has led to the development of new computer tools, such as genetic - gorithms, Boolean and neural networks, robots learning by experience, cellular machines and others that create a new vision of IT for the engineer: parallel, ?exible andautonomous.Inthis type of informatics,complexproblemsareta- led with the aid of simple mechanisms, but in?nitely iterated in time and space.

• AIS
• Mutation
• Simulation
• Spam
• artificial immune systems
• bioinformatics
• cognition
• immune networks
• immunocomputing
• modeling
• multi-objective optimization
• optimization
• pattern recognition
• robot
• theoretical i
• algorithm analysis and problem complexity

• IRIDIA, CoDE, Université Libre de Bruxelles, Brussels, Belgium

  Hugues Bersini

• Instituto Gulbenkian de Ciencia, Oeiras, Portugal

  Jorge Carneiro

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