Developmental SystemS At the Crossroads of System Theory, Computer Science, and Genetic Engineering

Many facts were at the origin of the present monograph. The ftrst is the beauty of maple leaves in Quebec forests in Fall. It raised the question: how does nature create and reproduce such beautiful patterns? The second was the reading of A. Lindenmayer's works on L systems. Finally came the di...

Full description

Bibliographic Details
Main Authors: Wegrzyn, Stefan, Gille, Jean-Charles (Author), Vidal, Pierre (Author)
Format: eBook
Language:English
Published: New York, NY Springer New York 1990, 1990
Edition:1st ed. 1990
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
LEADER 03853nmm a2200469 u 4500
001 EB000619540
003 EBX01000000000000000472622
005 00000000000000.0
007 cr|||||||||||||||||||||
008 140122 ||| eng
020 |a 9781461234388 
100 1 |a Wegrzyn, Stefan 
245 0 0 |a Developmental SystemS  |h Elektronische Ressource  |b At the Crossroads of System Theory, Computer Science, and Genetic Engineering  |c by Stefan Wegrzyn, Jean-Charles Gille, Pierre Vidal 
250 |a 1st ed. 1990 
260 |a New York, NY  |b Springer New York  |c 1990, 1990 
300 |a VII, 120 p  |b online resource 
505 0 |a 1 Proem: The model -- 1.1 General -- 1.2 Introductory examples -- 1.3 General definition -- References -- 2 Synchronous developmental systems without feedback -- 2.1 Generating word and system development: analysis and synthesis -- 2.2 Structural properties -- 2.3 Quantitative growth -- References -- 3 Synchronous developmental systems with feedback -- 3.1 General -- 3.2 Analysis and synthesis -- 3.3 Structural properties -- 3.4 Quantitative growth -- References -- 4 Developmental systems with operating system -- 4.1 General -- 4.2 Sensitivity to external context -- 4.3 Sensitivity to internal context -- 4.4 Dwindling and regrowth -- 4.5 Multilevel development -- 4.6 On global operating systems -- 4.7 Conclusion -- References -- Other Books by the Same Authors 
653 |a Humanities and Social Sciences 
653 |a Cell Biology 
653 |a Humanities 
653 |a Control, Robotics, Automation 
653 |a Engineering mathematics 
653 |a Cytology 
653 |a Social sciences 
653 |a Electrical and Electronic Engineering 
653 |a Electrical engineering 
653 |a Control theory 
653 |a Systems Theory, Control 
653 |a System theory 
653 |a Control engineering 
653 |a Robotics 
653 |a Engineering / Data processing 
653 |a Automation 
653 |a Mathematical and Computational Engineering Applications 
700 1 |a Gille, Jean-Charles  |e [author] 
700 1 |a Vidal, Pierre  |e [author] 
041 0 7 |a eng  |2 ISO 639-2 
989 |b SBA  |a Springer Book Archives -2004 
028 5 0 |a 10.1007/978-1-4612-3438-8 
856 4 0 |u https://doi.org/10.1007/978-1-4612-3438-8?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 003 
520 |a Many facts were at the origin of the present monograph. The ftrst is the beauty of maple leaves in Quebec forests in Fall. It raised the question: how does nature create and reproduce such beautiful patterns? The second was the reading of A. Lindenmayer's works on L systems. Finally came the discovery of "the secrets of DNA" together with many stimulating ex­ changes with biologists. Looking at such facts from the viewpoint of recursive numerical systems led to devise a simple model based on six elementary operations organized in a generating word, the analog of the program of a computer and of the genetic code of DNA in the cells of a living organism. It turned out that such a model, despite its simplicity, can account for a great number of properties of living organisms, e.g. their hierarchical structure, their ability to regenerate after a trauma, the possibility of cloning, their sensitivity to mutation, their growth, decay and reproduction. The model lends itself to analysis: the knowledge of the generating word makes it possible to predict the structure of the successive developmental stages of the system; and to synthesis: a speciftc type of structure can be obtained by systematically constructing a generating word that produces it. In fact the model here proposed is coherent with the fundamental assumptions of cellular biology and in particular with recent discoveries concerning DNA, which in the light of our model behaves like a very elaborate generating word