| dc.contributor.author | Puente Águeda, Cristina | es-ES |
| dc.date.accessioned | 2024-03-04T09:04:20Z | |
| dc.date.available | 2024-03-04T09:04:20Z | |
| dc.date.issued | 2011-10-01 | es_ES |
| dc.identifier.issn | 21740410 | es_ES |
| dc.identifier.uri | http://hdl.handle.net/11531/87458 | |
| dc.description | Artículos en revistas | es_ES |
| dc.description.abstract | . | es-ES |
| dc.description.abstract | Causality is a fundamental notion in every field of science. Since the
times of Aristotle, causal relationships have been a matter of study as a
way to generate knowledge and provide for explanations. In this paper I
review the notion of causality through different scientific areas such as
physics, biology, engineering, etc. In the scientific area, causality is
usually seen as a precise relation: the same cause provokes always the
same effect. But in the everyday world, the links between cause and effect
are frequently imprecise or imperfect in nature. Fuzzy logic offers an
adequate framework for dealing with imperfect causality, so a few
notions of fuzzy causality are introduced. | en-GB |
| dc.format.mimetype | application/pdf | es_ES |
| dc.language.iso | en-GB | es_ES |
| dc.rights | Creative Commons Reconocimiento-NoComercial-SinObraDerivada España | es_ES |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | es_ES |
| dc.source | Revista: Pensamiento Matemático, Periodo: 1, Volumen: , Número: 1, Página inicial: 1, Página final: 10 | es_ES |
| dc.title | Causality in Science | es_ES |
| dc.type | info:eu-repo/semantics/article | es_ES |
| dc.description.version | info:eu-repo/semantics/publishedVersion | es_ES |
| dc.rights.holder | | es_ES |
| dc.rights.accessRights | info:eu-repo/semantics/openAccess | es_ES |
| dc.keywords | . | es-ES |
| dc.keywords | Causality, Causal Relationship, Soft Computing, Deduction. | en-GB |