Introduction to Morphogenetic Computing

  • Germano Resconi
  • Xiaolin Xu
  • Guanglin Xu

Part of the Studies in Computational Intelligence book series (SCI, volume 703)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Germano Resconi, Xiaolin Xu, Guanglin Xu
    Pages 1-11
  3. Germano Resconi, Xiaolin Xu, Guanglin Xu
    Pages 13-18
  4. Germano Resconi, Xiaolin Xu, Guanglin Xu
    Pages 19-22
  5. Germano Resconi, Xiaolin Xu, Guanglin Xu
    Pages 23-37
  6. Germano Resconi, Xiaolin Xu, Guanglin Xu
    Pages 39-50
  7. Germano Resconi, Xiaolin Xu, Guanglin Xu
    Pages 51-63
  8. Germano Resconi, Xiaolin Xu, Guanglin Xu
    Pages 65-91
  9. Germano Resconi, Xiaolin Xu, Guanglin Xu
    Pages 93-106
  10. Germano Resconi, Xiaolin Xu, Guanglin Xu
    Pages 107-132
  11. Germano Resconi, Xiaolin Xu, Guanglin Xu
    Pages 133-169
  12. Back Matter
    Pages 171-172

About this book

Introduction

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.

Keywords

Morphogenetic Computing Computational Intelligence Neural Morphogenetic Computing Neural Networks Genetic Algorithms

Authors and affiliations

  • Germano Resconi
    • 1
  • Xiaolin Xu
    • 2
  • Guanglin Xu
    • 3
  1. 1.Catholic University of the Sacred HeartBresciaItaly
  2. 2.Shanghai Polytechnic UniversityShanghaiChina
  3. 3.Shanghai Lixin University of CommerceShanghaiChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-57615-2
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-57614-5
  • Online ISBN 978-3-319-57615-2
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book
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