Positive affirmation of non-algorithmic information processing
Abstract: 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...
Guardado en:
| Autor principal: | |
|---|---|
| Lenguaje: | English |
| Publicado: |
Universidad de Chile. Facultad de Ciencias Sociales.
2017
|
| Materias: | |
| Acceso en línea: | http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-554X2017000300279 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| id |
oai:scielo:S0717-554X2017000300279 |
|---|---|
| record_format |
dspace |
| spelling |
oai:scielo:S0717-554X20170003002792018-01-24Positive affirmation of non-algorithmic information processingMaldonado,Carlos Eduardo biological hypercomputation complexity science non-algorithmic life information. Abstract: 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 hypercomputation (BH) is the concept coined that expresses that living beings process information non-algorithmically. This paper aims at proving a positive understanding of “non-algorithmic” processes. Many arguments are brought that support the claim. This foster, it is argued, a brand-new understanding of information processing among living beings.info:eu-repo/semantics/openAccessUniversidad de Chile. Facultad de Ciencias Sociales.Cinta de moebio n.60 20172017-12-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-554X2017000300279en10.4067/S0717-554X2017000300279 |
| institution |
Scielo Chile |
| collection |
Scielo Chile |
| language |
English |
| topic |
biological hypercomputation complexity science non-algorithmic life information. |
| spellingShingle |
biological hypercomputation complexity science non-algorithmic life information. Maldonado,Carlos Eduardo Positive affirmation of non-algorithmic information processing |
| description |
Abstract: 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 hypercomputation (BH) is the concept coined that expresses that living beings process information non-algorithmically. This paper aims at proving a positive understanding of “non-algorithmic” processes. Many arguments are brought that support the claim. This foster, it is argued, a brand-new understanding of information processing among living beings. |
| author |
Maldonado,Carlos Eduardo |
| author_facet |
Maldonado,Carlos Eduardo |
| author_sort |
Maldonado,Carlos Eduardo |
| title |
Positive affirmation of non-algorithmic information processing |
| 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 |
| publisher |
Universidad de Chile. Facultad de Ciencias Sociales. |
| publishDate |
2017 |
| url |
http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-554X2017000300279 |
| work_keys_str_mv |
AT maldonadocarloseduardo positiveaffirmationofnonalgorithmicinformationprocessing |
| _version_ |
1718441993938403328 |