Positive affirmation of non-algorithmic information processing
One of the most compelling problems in science consists in understanding how living systems process information. After all, the way they process information defines their capacities to learning and adaptation. There is an increasing consensus in that living systems are not machines in any sense. Bio...
- Autores:
-
Maldonado, Carlos Eduardo
- Tipo de recurso:
- Fecha de publicación:
- 2017
- Institución:
- Universidad El Bosque
- Repositorio:
- Repositorio U. El Bosque
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.unbosque.edu.co:20.500.12495/1596
- Acceso en línea:
- http://hdl.handle.net/20.500.12495/1596
http://dx.doi.org/10.4067/S0717-554X2017000300279
- Palabra clave:
- Biología
Procesamiento de la información
Ciencias de la vida
Biological hypercomputation
Complexity science
Non-algorithmic
- Rights
- License
- Attribution 4.0 International
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Positive affirmation of non-algorithmic information processing |
| title |
Positive affirmation of non-algorithmic information processing |
| spellingShingle |
Positive affirmation of non-algorithmic information processing Biología Procesamiento de la información Ciencias de la vida Biological hypercomputation Complexity science Non-algorithmic |
| title_short |
Positive affirmation of non-algorithmic information processing |
| title_full |
Positive affirmation of non-algorithmic information processing |
| title_fullStr |
Positive affirmation of non-algorithmic information processing |
| title_full_unstemmed |
Positive affirmation of non-algorithmic information processing |
| title_sort |
Positive affirmation of non-algorithmic information processing |
| dc.creator.fl_str_mv |
Maldonado, Carlos Eduardo |
| dc.contributor.author.none.fl_str_mv |
Maldonado, Carlos Eduardo |
| dc.contributor.orcid.none.fl_str_mv |
Maldonado, Carlos Eduardo [0000-0002-9262-8879] |
| dc.subject.unesco.spa.fl_str_mv |
Biología Procesamiento de la información Ciencias de la vida |
| topic |
Biología Procesamiento de la información Ciencias de la vida Biological hypercomputation Complexity science Non-algorithmic |
| dc.subject.keywords.spa.fl_str_mv |
Biological hypercomputation Complexity science Non-algorithmic |
| description |
One of the most compelling problems in science consists in understanding how living systems process information. After all, the way they process information defines their capacities to learning and adaptation. There is an increasing consensus in that living systems are not machines in any sense. Biological hyper-computation is the concept coined that expresses that living beings process information non-algorithmically. Maldonado and Gomez (2015) have brought up biological hyper-computation as a new problem within complexity science. This paper aims at proving a positive understanding of non-algorithmic processes. A number of arguments are brought that support the claim. This fosters, it is argued, a brand new understanding of information processing among living beings. Some conclusions are drawn at the end. |
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2017 |
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2017 |
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2019-08-05T18:38:29Z |
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2019-08-05T18:38:29Z |
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0717-554X |
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http://hdl.handle.net/20.500.12495/1596 |
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http://dx.doi.org/10.4067/S0717-554X2017000300279 |
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instname:Universidad El Bosque |
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http://hdl.handle.net/20.500.12495/1596 http://dx.doi.org/10.4067/S0717-554X2017000300279 |
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eng |
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eng |
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Cinta de moebio, 0717-554X, Nro. 60, 2017, p. 279-285 |
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https://scielo.conicyt.cl/scielo.php?script=sci_serial&pid=0717-554X&lng=es&nrm=iso |
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Attribution 4.0 International |
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http://creativecommons.org/licenses/by/4.0/ |
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http://purl.org/coar/access_right/c_abf202 |
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2017 |
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Maldonado, Carlos EduardoMaldonado, Carlos Eduardo [0000-0002-9262-8879]2019-08-05T18:38:29Z2019-08-05T18:38:29Z20170717-554Xhttp://hdl.handle.net/20.500.12495/1596http://dx.doi.org/10.4067/S0717-554X2017000300279instname:Universidad El Bosquereponame:Repositorio Institucional Universidad El Bosquerepourl:https://repositorio.unbosque.edu.coapplication/pdfengUniversidad de Chile. Facultad de Ciencias SocialesCinta de moebioCinta de moebio, 0717-554X, Nro. 60, 2017, p. 279-285https://scielo.conicyt.cl/scielo.php?script=sci_serial&pid=0717-554X&lng=es&nrm=isoAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/Acceso abiertohttp://purl.org/coar/access_right/c_abf2022017http://purl.org/coar/access_right/c_abf2Positive affirmation of non-algorithmic information processingarticleartículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501BiologíaProcesamiento de la informaciónCiencias de la vidaBiological hypercomputationComplexity scienceNon-algorithmicOne of the most compelling problems in science consists in understanding how living systems process information. After all, the way they process information defines their capacities to learning and adaptation. There is an increasing consensus in that living systems are not machines in any sense. Biological hyper-computation is the concept coined that expresses that living beings process information non-algorithmically. Maldonado and Gomez (2015) have brought up biological hyper-computation as a new problem within complexity science. This paper aims at proving a positive understanding of non-algorithmic processes. A number of arguments are brought that support the claim. This fosters, it is argued, a brand new understanding of information processing among living beings. 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