Journal ArticleDOI
The immune system, adaptation, and machine learning
TLDR
A dynamical model for the immune system is described that is based on the network hypothesis of Jerne, and is simple enough to simulate on a computer, and has a strong similarity to an approach to learning and artificial intelligence introduced by Holland, called the classifier system.About:
This article is published in Physica D: Nonlinear Phenomena.The article was published on 1986-10-01. It has received 1326 citations till now. The article focuses on the topics: Artificial immune system & Learning classifier system.read more
Citations
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Journal ArticleDOI
Detection of anomalies in compiled computer program files inspired by immune mechanisms using a template method
TL;DR: An intrusion detection system inspired by the human immune system is described: a custom artificial immune system that monitors a local area containing critical files in the operating system and checks for possible malware-induced alterations in them, based on a negative selection algorithm.
Journal ArticleDOI
Construction of a Decentralized Consensus-Making Network Based on the Immune System
Journal ArticleDOI
Multi-word-Agent Autonomy Learning Based on Adaptive Immune Theories
TL;DR: A multi-word-agent autonomy learning model as a new online learning model is presented based on clonal selection theory and idiotypic immune network theory, where words simulate B cells and antigens involved in adaptive immune responses to construct autonomic immune word-agents under the framework of autonomy oriented computing.
References
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Journal ArticleDOI
Somatic generation of antibody diversity
TL;DR: In the genome of a germ-line cell, the genetic information for an immunoglobulin polypeptide chain is contained in multiple gene segments scattered along a chromosome which are assembled by recombination which leads to the formation of a complete gene.
Book ChapterDOI
A mathematical model illustrating the theory of turbulence
TL;DR: In this article, the application of statistical analysis and statistical mechanics to the problem of turbulent fluid motion has attracted much attention in recent years, and the authors investigated a complicated system of nonlinear equations, in order to find out enough about the properties of the solutions of these equations that insight can be obtained into the various patterns exhibited by the field and that data can be derived concerning the relative frequencies of these patterns in the hope that in this way a basis may be found for the calculation of important values.