From fractals and cellular automata to biology: information as order hidden within chance
"The didactical level of exposition, together with many astonishing images and animations, accompanied by the related simple computer programming codes (in Python and POV-Ray languages) make this book an extremely and unique useful tool to test the power of algorithmic information in generating...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Singapore
World Scientific
[2020]
|
| Schlagworte: | |
| Online-Zugang: | URL des Erstveröffentlichers |
| Zusammenfassung: | "The didactical level of exposition, together with many astonishing images and animations, accompanied by the related simple computer programming codes (in Python and POV-Ray languages) make this book an extremely and unique useful tool to test the power of algorithmic information in generating ordered structure models (2D and 3D) like regular geometric shapes, complex shapes like fractals and cellular automata, and biological systems as the organs of a living body. Informational biologists besides mathematicians and physicists of complexity may learn to test their own capabilities in programming and modelling ordered structures starting from random initial conditions at different scale of each system: from elementary particles, to biological systems, to galaxies and the whole universe. Moreover the philosophical comments comparing some aspects of modern information theory to the Aristotelian notion of "form are very appealing also for the epistemologist and the philosopher involved in complexity matters"--Publisher's website |
| Beschreibung: | 1 Online-Ressource (x, 318 Seiten) |
| ISBN: | 9789811217166 9811217165 |
Internformat
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| 520 | |a "The didactical level of exposition, together with many astonishing images and animations, accompanied by the related simple computer programming codes (in Python and POV-Ray languages) make this book an extremely and unique useful tool to test the power of algorithmic information in generating ordered structure models (2D and 3D) like regular geometric shapes, complex shapes like fractals and cellular automata, and biological systems as the organs of a living body. Informational biologists besides mathematicians and physicists of complexity may learn to test their own capabilities in programming and modelling ordered structures starting from random initial conditions at different scale of each system: from elementary particles, to biological systems, to galaxies and the whole universe. Moreover the philosophical comments comparing some aspects of modern information theory to the Aristotelian notion of "form are very appealing also for the epistemologist and the philosopher involved in complexity matters"--Publisher's website | ||
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Datensatz im Suchindex
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| author_facet | Strumia, Alberto 1950- |
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| author_sort | Strumia, Alberto 1950- |
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| dewey-ones | 570 - Biology |
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| dewey-search | 570.1 |
| dewey-sort | 3570.1 |
| dewey-tens | 570 - Biology |
| discipline | Biologie |
| discipline_str_mv | Biologie |
| format | Electronic eBook |
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| id | DE-604.BV047124335 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:30:25Z |
| indexdate | 2024-07-10T09:03:18Z |
| institution | BVB |
| isbn | 9789811217166 9811217165 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032530575 |
| oclc_num | 1237585438 |
| open_access_boolean | |
| physical | 1 Online-Ressource (x, 318 Seiten) |
| psigel | ZDB-124-WOP |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | World Scientific |
| record_format | marc |
| spelling | Strumia, Alberto 1950- Verfasser aut From fractals and cellular automata to biology information as order hidden within chance by Alberto Strumia Singapore World Scientific [2020] 1 Online-Ressource (x, 318 Seiten) txt rdacontent c rdamedia cr rdacarrier "The didactical level of exposition, together with many astonishing images and animations, accompanied by the related simple computer programming codes (in Python and POV-Ray languages) make this book an extremely and unique useful tool to test the power of algorithmic information in generating ordered structure models (2D and 3D) like regular geometric shapes, complex shapes like fractals and cellular automata, and biological systems as the organs of a living body. Informational biologists besides mathematicians and physicists of complexity may learn to test their own capabilities in programming and modelling ordered structures starting from random initial conditions at different scale of each system: from elementary particles, to biological systems, to galaxies and the whole universe. Moreover the philosophical comments comparing some aspects of modern information theory to the Aristotelian notion of "form are very appealing also for the epistemologist and the philosopher involved in complexity matters"--Publisher's website Biological models / Mathematical models Biological models / Simulation methods Fractals Cellular automata https://www.worldscientific.com/worldscibooks/10.1142/11743#t=toc Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Strumia, Alberto 1950- From fractals and cellular automata to biology information as order hidden within chance Biological models / Mathematical models Biological models / Simulation methods Fractals Cellular automata |
| title | From fractals and cellular automata to biology information as order hidden within chance |
| title_auth | From fractals and cellular automata to biology information as order hidden within chance |
| title_exact_search | From fractals and cellular automata to biology information as order hidden within chance |
| title_exact_search_txtP | From fractals and cellular automata to biology information as order hidden within chance |
| title_full | From fractals and cellular automata to biology information as order hidden within chance by Alberto Strumia |
| title_fullStr | From fractals and cellular automata to biology information as order hidden within chance by Alberto Strumia |
| title_full_unstemmed | From fractals and cellular automata to biology information as order hidden within chance by Alberto Strumia |
| title_short | From fractals and cellular automata to biology |
| title_sort | from fractals and cellular automata to biology information as order hidden within chance |
| title_sub | information as order hidden within chance |
| topic | Biological models / Mathematical models Biological models / Simulation methods Fractals Cellular automata |
| topic_facet | Biological models / Mathematical models Biological models / Simulation methods Fractals Cellular automata |
| url | https://www.worldscientific.com/worldscibooks/10.1142/11743#t=toc |
| work_keys_str_mv | AT strumiaalberto fromfractalsandcellularautomatatobiologyinformationasorderhiddenwithinchance |