Artificial Immune Systems

1. Applied Artificial Immune Systems

   1. An Artificial Immune System Approach for Artificial Chemistries Based on Set Rewriting

      • Daniel Schreckling, Tobias Marktscheffel

      Pages 250-263

   2. Further Experimentation with Hybrid Immune Inspired Network Intrusion Detection

      • Robert L. Fanelli

      Pages 264-275

   3. Danger Theory and Intrusion Detection: Possibilities and Limitations of the Analogy

      • Mark Vella, Marc Roper, Sotirios Terzis

      Pages 276-289

   4. Electronic Fraud Detection for Video-on-Demand System Using Hybrid Immunology-Inspired Algorithms

      • Rentian Huang, Hissam Tawfik, Atulya Nagar

      Pages 290-303

2. PerAda Workshop on Novel Applications of Bio-inspired Computing to Pervasive Adaptive Systems

   1. Converging Bio-inspired Robotics and Socio-inspired Agents for Intelligent Transportation Systems

      • Jeremy Pitt, Yiannis Demiris, John Polak

      Pages 304-306

   2. On Homeostasis in Collective Robotic Systems

      • Jon Timmis, Andy Tyrrell

      Pages 307-309

   3. Can a Developmental AIS Provide Immunity to a Multi-cellular Robotics System?

      • Maizura Mokhtar, Yang Liu

      Pages 310-311

   4. Using Virtual Embryogenesis for Structuring Controllers

      • Ronald Thenius, Michael Bodi, Thomas Schmickl, Karl Crailsheim

      Pages 312-313

   5. Towards Self-aware PerAda Systems

      • Emma Hart, Ben Paechter

      Pages 314-316

   6. Is Receptor Degeneracy Suitable for Automatic Response Decisions in Ad Hoc Networks?

      • Sven Schaust, Martin Drozda, Helena Szczerbicka

      Pages 317-319

   7. Biochemically-Inspired Emergent Computation

      • Lidia Yamamoto, Thomas Meyer

      Pages 320-322

   8. Nature-Inspired Adaptivity in Communication and Learning

      • Borbala Katalin Benko, Vilmos Simon

      Pages 323-325

   9. Symbiotic Cognitive Networks: A Proposal

      • Tinku Rasheed, Emma Hart, Jim Bown, Ruth Falconer

      Pages 326-328

3. Back Matter

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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

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