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
Immunity-based hybrid learning methods for approximator structure and parameter adjustment
Yixin Diao,Kevin M. Passino +1 more
TL;DR: Two immunity-based hybrid learning approaches for function approximation (or regression) problems that involve adjusting the structure and parameters of spatially localized models (e.g., radial basis function networks) are presented.
Book ChapterDOI
Immunoid: An Immunological Approach to Decentralized Behavoir Arbitration of Autonomous Mobile Robots
TL;DR: A new decentralized consensus-making system inspired from the biological immune system is proposed, and this method is applied to behavior arbitration of an autonomous mobile robot as a practical example.
Book ChapterDOI
An Idiotypic Immune Network as a Short-Term Learning Architecture for Mobile Robots
TL;DR: The results provide substantial evidence that the best option is the seeded idiotypic system, i.e. the architecture that merges LTL with an idiotypics AIS for the STL, and show that structurally different environments can be used for the two phases without compromising transferability.
Journal ArticleDOI
An immune-genetic algorithm for introduction planning of new products
TL;DR: The recommended algorithm can improve the performance of genetic algorithms particularly in complex constrained optimization problems, and has been achieved satisfactory results from the new product introduction problems.
Journal ArticleDOI
Evolutionary Automata
Mark Burgin,Eugene Eberbach +1 more
TL;DR: It turns out that all standard classes of evolutionary automata are equally expressive when they operate in the terminal mode, i.e. in theTerminal mode, evolutionary finite automata (EFA) are as expressive as evolutionary pushdown automata, evolutionary linearly bounded automATA, evolutionary Turing machines or evolutionary inductive Turing machines.
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.