Artificial immune systems : second international conference, ICARIS 2003, Edinburgh, UK, September 1-3, 2003 : proceedings

In many ways, our immune systems are as complex as our brains. They learn, predict, remember and adapt, protecting us from the maelstrom of pathogens that infect us daily. Computer Science frequently takes inspiration from the seemingly endless capabilities of natural systems. It should therefore be...

Celý popis

Uloženo v:
Podrobná bibliografie
Korporativní autor: ICARIS 2003. Conference :Edimburgh, UK
Další autoři: Timmis, Jonathan, 1970- (Šéfredaktor, odpovědný redaktor), Hart, Emma, 1967- (Šéfredaktor, odpovědný redaktor), Bentley, Peter, 1972- (Šéfredaktor, odpovědný redaktor)
Médium: Livre numérique
Jazyk:Anglais
Vydáno: Berlin [etc.] : Springer [20..].
Cham : Springer Nature
Edice:Lecture notes in computer science 2787
Témata:
On-line přístup:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Poznámka: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Artificial immune systems, second international conference, ICARIS 2003, Edinburgh, UK, September 1-3, 2003, proceedings, Jon Timmis, Peter Bentley, Emma Hart (eds.), Berlin, Springer, 2003, 1 vol. (XI-297 p.), Lecture notes in computer science, 3-540-40766-9
• Artificial Immune Systems, Texte imprimé, 9783662208748
Obsah:
  • Applications of Artificial Immune Systems (Technical Stream)
  • Use of an Artificial Immune System for Job Shop Scheduling
  • An Artificial Immune System for Multimodality Image Alignment
  • Bioinformatics Data Analysis Using an Artificial Immune Network
  • An Investigation of the Negative Selection Algorithm for Fault Detection in Refrigeration Systems
  • Future Applications of Artificial Immune Systems (Conceptual Stream)
  • A Role for Immunology in Next Generation Robot Controllers
  • Immunologic Control Framework for Automated Material Handling
  • An Immune Learning Classifier Network for Autonomous Navigation
  • Software Vaccination: An Artificial Immune System Approach to Mutation Testing
  • Special Session on Immunocomputing
  • Memory and Selectivity in Evolving Scale-Free Immune Networks
  • Biomolecular Immunocomputing
  • Signal Processing by an Immune Type Tree Transform
  • Index Design by Immunocomputing
  • Emerging Metaphors (Conceptual Stream)
  • Immune-Based Framework for Exploratory Bio-information Retrieval from the Semantic Web
  • An Artificial Immune System Approach to Semantic Document Classification
  • Danger Theory: The Link between AIS and IDS?
  • A Danger Theory Inspired Approach to Web Mining
  • Augmentations of Artificial Immune System Algorithms (Technical Stream)
  • Meta-stable Memory in an Artificial Immune Network
  • Improved Pattern Recognition with Artificial Clonal Selection?
  • Improving SOSDM: Inspirations from the Danger Theory
  • Theory of Artificial Immune Systems (Conceptual Stream)
  • Artificial Immune Systems and the Grand Challenge for Non-classical Computation
  • A Paratope Is Not an Epitope: Implications for Immune Network Models and Clonal Selection
  • Revisiting the Foundations of Artificial Immune Systems: A Problem-Oriented Perspective.-Complementary Dual Detectors for Effective Classification
  • Representations and Operators (Technical Stream)
  • The Crossover Closure and Partial Match Detection
  • A Randomized Real-Valued Negative Selection Algorithm
  • Dynamic Function Optimisation: Comparing the Performance of Clonal Selection and Evolution Strategies
  • The Effect of Antibody Morphology on Non-self Detection
  • Plenary Session
  • The Immune System as a Cognitive System: New Perspectives for Information Technology Society.