000 | 03647nam a22005655i 4500 | ||
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001 | 978-3-319-57615-2 | ||
003 | DE-He213 | ||
005 | 20220801222640.0 | ||
007 | cr nn 008mamaa | ||
008 | 170511s2017 sz | s |||| 0|eng d | ||
020 |
_a9783319576152 _9978-3-319-57615-2 |
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024 | 7 |
_a10.1007/978-3-319-57615-2 _2doi |
|
050 | 4 | _aQ342 | |
072 | 7 |
_aUYQ _2bicssc |
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_aTEC009000 _2bisacsh |
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_aUYQ _2thema |
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082 | 0 | 4 |
_a006.3 _223 |
100 | 1 |
_aResconi, Germano. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _962597 |
|
245 | 1 | 0 |
_aIntroduction to Morphogenetic Computing _h[electronic resource] / _cby Germano Resconi, Xiaolin Xu, Guanglin Xu. |
250 | _a1st ed. 2017. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2017. |
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300 |
_aIX, 172 p. 145 illus. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aStudies in Computational Intelligence, _x1860-9503 ; _v703 |
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505 | 0 | _aDatabase 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 | _aThis 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. | ||
650 | 0 |
_aComputational intelligence. _97716 |
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650 | 0 |
_aArtificial intelligence. _93407 |
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650 | 0 |
_aComputer science—Mathematics. _931682 |
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650 | 1 | 4 |
_aComputational Intelligence. _97716 |
650 | 2 | 4 |
_aArtificial Intelligence. _93407 |
650 | 2 | 4 |
_aMathematical Applications in Computer Science. _931683 |
700 | 1 |
_aXu, Xiaolin. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _962598 |
|
700 | 1 |
_aXu, Guanglin. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _962599 |
|
710 | 2 |
_aSpringerLink (Online service) _962600 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783319576145 |
776 | 0 | 8 |
_iPrinted edition: _z9783319576169 |
776 | 0 | 8 |
_iPrinted edition: _z9783319862088 |
830 | 0 |
_aStudies in Computational Intelligence, _x1860-9503 ; _v703 _962601 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-319-57615-2 |
912 | _aZDB-2-ENG | ||
912 | _aZDB-2-SXE | ||
942 | _cEBK | ||
999 |
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