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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.

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Citations
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Journal ArticleDOI

Towards sustainable WEEE collection and transportation methods in circular economy - Comparative study for rural and urban settlements

TL;DR: In this article, the authors compared three most common methods of WEEE collection including cost analysis and vehicle emission using case studies for urban and rural areas and proposed some improvements for waste collecting companies.
Book ChapterDOI

Black Hole Algorithm and Its Applications

TL;DR: This chapter provides with the stepping stone for future researches to unveil how metaheuristic and bio-inspired commutating algorithms can improve the solutions of hard or complex problem of optimization.
Journal ArticleDOI

Morphogenesis in shape-space. Elementary meta-dynamics in a model of the immune network.

TL;DR: It is concluded that the meta-dynamics of the biological immune system may be such that it gives rise to the emergence of a connected, self-sustaining network that is called the Central Immune System: a coherent self-identity which incorporates the molecules of the somatic self and reflects the history of its own development.
Book ChapterDOI

Once More Unto the Breach: Towards Artificial Homeostasis?

TL;DR: A conceptual framework which integrates artificial neural networks, artificial immune systems and a novel artificial endocrine system is presented, which promises to capitalise on the self-organising properties of these artificial systems to yield artificially homeostatic systems.
Book ChapterDOI

Egyptian Vulture Optimization Algorithm – A New Nature Inspired Meta-heuristics for Knapsack Problem

TL;DR: A new nature inspired meta-heuristics algorithm called Egyptian Vulture Optimization Algorithm which primarily favors combinatorial optimization problems which is derived from the nature, behavior and key skills of the Egyptian Vultures for acquiring food for leading their livelihood.
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.