Artificial Immune Systems 9th International Conference, ICARIS 2010, Edinburgh, UK, July 26-29, 2010. Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Hart, Emma (Επιμελητής έκδοσης), McEwan, Chris (Επιμελητής έκδοσης), Timmis, Jon (Επιμελητής έκδοσης), Hone, Andy (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
• Σειρά: Lecture Notes in Computer Science, 6209
• Θέματα: Computer science.; Computer programming.; Computers.; Algorithms.; Artificial intelligence.; Computer simulation.; Pattern recognition.; Computer Science.; Simulation and Modeling.; Artificial Intelligence (incl. Robotics).; Programming Techniques.; Computation by Abstract Devices.; Algorithm Analysis and Problem Complexity.; Pattern Recognition.

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,dataminin...

Πίνακας περιεχομένων:

• Immune System Modelling
• A Petri Net Model of Granulomatous Inflammation
• Defining a Simulation Strategy for Cancer Immunocompetence
• Theoretical Artificial Immune Systems
• Clonal Selection from First Principles
• Density Preservation and Vector Quantization in Immune-Inspired Algorithms
• Immune Inspired Information Filtering in a High Dimensional Space
• On the Benefits of Aging and the Importance of Details
• Classifying in the Presence of Uncertainty: A DCA Perspective
• Insights into the Antigen Sampling Component of the Dendritic Cell Algorithm
• FDCM: A Fuzzy Dendritic Cell Method
• Modular RADAR: An Immune System Inspired Search and Response Strategy for Distributed Systems
• Applied Artificial Immune Systems
• A Faster Clonal Selection Algorithm for Expensive Optimization Problems
• An Information-Theoretic Approach for Clonal Selection Algorithms
• Antibodies with Adaptive Radius as Prototypes of High-Dimensional Datasets
• GAIS: A Gaussian Artificial Immune System for Continuous Optimization
• An Immune Algorithm for Minimum Interference Channel Assignment in Multi-radio Wireless Mesh Networks
• A Developmental and Immune-Inspired Dynamic Task Allocation Algorithm for Microprocessor Array Systems
• An Immunological Algorithm for Doping Profile Optimization in Semiconductors Design
• QML-AiNet: An Immune-Inspired Network Approach to Qualitative Model Learning
• Biomedical Article Classification Using an Agent-Based Model of T-Cell Cross-Regulation
• An Artificial Immune System Approach for Artificial Chemistries Based on Set Rewriting
• Further Experimentation with Hybrid Immune Inspired Network Intrusion Detection
• Danger Theory and Intrusion Detection: Possibilities and Limitations of the Analogy
• Electronic Fraud Detection for Video-on-Demand System Using Hybrid Immunology-Inspired Algorithms
• PerAda Workshop on Novel Applications of Bio-inspired Computing to Pervasive Adaptive Systems
• Converging Bio-inspired Robotics and Socio-inspired Agents for Intelligent Transportation Systems
• On Homeostasis in Collective Robotic Systems
• Can a Developmental AIS Provide Immunity to a Multi-cellular Robotics System?
• Using Virtual Embryogenesis for Structuring Controllers
• Towards Self-aware PerAda Systems
• Is Receptor Degeneracy Suitable for Automatic Response Decisions in Ad Hoc Networks?
• Biochemically-Inspired Emergent Computation
• Nature-Inspired Adaptivity in Communication and Learning
• Symbiotic Cognitive Networks: A Proposal.