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Artificial Immune Systems

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Cover of 'Artificial Immune Systems'

Table of Contents

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    Book Overview
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    Chapter 1 Negative Selection Algorithm for Aircraft Fault Detection
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    Chapter 2 A Hierarchical Immune Network Applied to Gene Expression Data
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    Chapter 3 Artificial Immune Regulation (AIR) for Model-Based Fault Diagnosis
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    Chapter 4 Optimal Circuit Design Using Immune Algorithm
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    Chapter 5 Towards a Conceptual Framework for Artificial Immune Systems
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    Chapter 6 Immunologic Responses Manipulation of AIS Agents
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    Chapter 7 Optima, Extrema, and Artificial Immune Systems
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    Chapter 8 An Immuno Control Framework for Decentralized Mechatronic Control
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    Chapter 9 AIS Based Robot Navigation in a Rescue Scenario
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    Chapter 10 Reactive Immune Network Based Mobile Robot Navigation
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    Chapter 11 A Fractal Immune Network
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    Chapter 12 Nootropia: A User Profiling Model Based on a Self-Organising Term Network
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    Chapter 13 Towards Danger Theory Based Artificial APC Model: Novel Metaphor for Danger Susceptible Data Codons
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    Chapter 14 Online Negative Databases
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    Chapter 15 Definition of MHC Supertypes Through Clustering of MHC Peptide Binding Repertoires
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    Chapter 16 BcePred: Prediction of Continuous B-Cell Epitopes in Antigenic Sequences Using Physico-chemical Properties
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    Chapter 17 Integration of Immune Models Using Petri Nets
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    Chapter 18 MHC Class I Epitope Binding Prediction Trained on Small Data Sets
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    Chapter 19 Convergence Analysis of a Multiobjective Artificial Immune System Algorithm
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    Chapter 20 A Comparison of Immune and Neural Computing for Two Real-Life Tasks of Pattern Recognition
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    Chapter 21 An Artificial Immune System Based Visual Analysis Model and Its Real-Time Terrain Surveillance Application
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    Chapter 22 Exploring the Capability of Immune Algorithms: A Characterization of Hypermutation Operators
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    Chapter 23 Exploiting Immunological Properties for Ubiquitous Computing Systems
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    Chapter 24 A Robust Immune Based Approach to the Iterated Prisoner’s Dilemma
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    Chapter 25 Artificial Innate Immune System: An Instant Defence Layer of Embryonics
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    Chapter 26 Immune System Approaches to Intrusion Detection – A Review
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    Chapter 27 Multimodal Search with Immune Based Genetic Programming
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    Chapter 28 An Artificial Immune System for Misbehavior Detection in Mobile Ad-Hoc Networks with Virtual Thymus, Clustering, Danger Signal, and Memory Detectors
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    Chapter 29 Developing Efficient Search Algorithms for P2P Networks Using Proliferation and Mutation
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    Chapter 30 A Game-Theoretic Approach to Artificial Immune Networks
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    Chapter 31 Modelling Immune Memory for Prediction and Computation
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    Chapter 32 Immunity Through Swarms: Agent-Based Simulations of the Human Immune System
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    Chapter 33 Studies on the Implications of Shape-Space Models for Idiotypic Networks
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    Chapter 34 Exploiting Parallelism Inherent in AIRS, an Artificial Immune Classifier
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    Chapter 35 An Overview of Computational and Theoretical Immunology
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Title
Artificial Immune Systems
Published by
Springer Science & Business Media, September 2004
DOI 10.1007/b100486
ISBNs
978-3-54-023097-7, 978-3-54-030220-9
Editors

Giuseppe Nicosia, Vincenzo Cutello, Peter J. Bentley, Jon Timmis

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Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 400%
Professor > Associate Professor 3 300%
Student > Bachelor 1 100%
Readers by discipline Count As %
Computer Science 7 700%
Engineering 1 100%