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Introduction to morphogenetic computing

Resconi, Germano.

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Introduction to morphogenetic computing

Record Type:	Electronic resources : Monograph/item
Title/Author:	Introduction to morphogenetic computing/ by Germano Resconi, Xiaolin Xu, Guanglin Xu.
Author:	Resconi, Germano.
other author:	Xu, Xiaolin.
Published:	Cham :Springer International Publishing : : 2017.,
Description:	ix, 172 p. :ill., digital ;24 cm.
[NT 15003449]:	Database and Graph Theory [16] -- Crossover and Permutation -- Similarity Between Graphs in Database by Permutations -- Morphogenetic and Morpheme Network to Structured Worlds -- Formal Description and References in Graph Theory.
Contained By:	Springer eBooks
Subject:	Computer science - Mathematics. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-57615-2
ISBN:	9783319576152

Introduction to morphogenetic computing
Resconi, Germano.

Introduction to morphogenetic computing[electronic resource] /by Germano Resconi, Xiaolin Xu, Guanglin Xu. - Cham :Springer International Publishing :2017. - ix, 172 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.7031860-949X ;. - Studies in computational intelligence ;v.703..

Database and Graph Theory [16] -- Crossover and Permutation -- Similarity Between Graphs in Database by Permutations -- Morphogenetic and Morpheme Network to Structured Worlds -- Formal Description and References in Graph Theory.

This book offers a concise introduction to morphogenetic computing, showing that its use makes global and local relations, defects in crystal non-Euclidean geometry databases with source and sink, genetic algorithms, and neural networks more stable and efficient. It also presents applications to database, language, nanotechnology with defects, biological genetic structure, electrical circuit, and big data structure. In Turing machines, input and output states form a system - when the system is in one state, the input is transformed into output. This computation is always deterministic and without any possible contradiction or defects. In natural computation there are defects and contradictions that have to be solved to give a coherent and effective computation. The new computation generates the morphology of the system that assumes different forms in time. Genetic process is the prototype of the morphogenetic computing. At the Boolean logic truth value, we substitute a set of truth (active sets) values with possible contradictions. The value of a proposition is a set of true and false values. The aim of morphogenetic computing is to use and solve the contradictions in order to transform systems to allow classical computation.

ISBN: 9783319576152

Standard No.: 10.1007/978-3-319-57615-2doiSubjects--Topical Terms:

532725
Computer science
--Mathematics.

LC Class. No.: QA76.9.M35

Dewey Class. No.: 004.0151

Introduction to morphogenetic computing
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100 1 $a Resconi, Germano. $3 2070353
245 1 0 $a Introduction to morphogenetic computing $h [electronic resource] / $c by Germano Resconi, Xiaolin Xu, Guanglin Xu.
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490 1 $a Studies in computational intelligence, $x 1860-949X ; $v v.703
505 0 $a Database and Graph Theory [16] -- Crossover and Permutation -- Similarity Between Graphs in Database by Permutations -- Morphogenetic and Morpheme Network to Structured Worlds -- Formal Description and References in Graph Theory.
520 $a This book offers a concise introduction to morphogenetic computing, showing that its use makes global and local relations, defects in crystal non-Euclidean geometry databases with source and sink, genetic algorithms, and neural networks more stable and efficient. It also presents applications to database, language, nanotechnology with defects, biological genetic structure, electrical circuit, and big data structure. In Turing machines, input and output states form a system - when the system is in one state, the input is transformed into output. This computation is always deterministic and without any possible contradiction or defects. In natural computation there are defects and contradictions that have to be solved to give a coherent and effective computation. The new computation generates the morphology of the system that assumes different forms in time. Genetic process is the prototype of the morphogenetic computing. At the Boolean logic truth value, we substitute a set of truth (active sets) values with possible contradictions. The value of a proposition is a set of true and false values. The aim of morphogenetic computing is to use and solve the contradictions in order to transform systems to allow classical computation.
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650 2 4 $a Mathematical Applications in Computer Science. $3 1567978
700 1 $a Xu, Xiaolin. $3 1273650
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