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
The construction of a Boolean competitive neural network using ideas from immunology
TL;DR: The results show that the network is a promising tool for solving problems that are inherently binary, and also that the immune system provides a new paradigm to search for neural network learning algorithms.
Journal ArticleDOI
An artificial immune based intrusion detection model for computer and telecommunication systems
Azzedine Boukerche,Kathia Regina Lemos Jucá,João Bosco Mangueira Sobral,Mirela Sechi Moretti Annoni Notare +3 more
TL;DR: A security system for fraud detection of intruders and improper use of both computer system and mobile telecommunication operations, based upon data analysis inspired by the natural immune human system is proposed.
Journal ArticleDOI
Immune network behavior—I. From stationary states to limit cycle oscillations
TL;DR: It is shown that the so-called immune states lose stability if B cell and antibody concentrations change on different time scales, and the structure of stable and unstable manifolds of saddle-type equilibria are derived, and these bifurcations play a crucial role in determining the parameter regimes in which the model exhibits oscillatory behavior.
Journal ArticleDOI
How a well-adapting immune system remembers.
Andreas Mayer,Andreas Mayer,Vijay Balasubramanian,Vijay Balasubramanian,Aleksandra M. Walczak,Thierry Mora +5 more
TL;DR: In this article, the adaptive immune system is modeled as a dynamic Bayesian machinery that updates its memory repertoire by balancing evidence from new pathogen encounters against past experience of infection to predict and prepare for future threats.
Journal ArticleDOI
An immunological approach to mobile robot reactive navigation
Guan-Chun Luh,Wei-Wen Liu +1 more
TL;DR: A reactive immune network (RIN) is proposed and employed for mobile robot navigation within unknown environments and an adaptive virtual target method is integrated to solve the local minima problem in navigation.
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.