Bio-inspired political systems: Opening a field
In this paper we highlight the scopes of engineering bio-inspired political systems: political systems based on the properties of life that self-organize the increasing complexity of human social systems. We describe bio-inspired political systems and conjecture about various ways to get to them—mos...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2013
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- eng
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/23325
- Acceso en línea:
- https://doi.org/10.1007/978-3-319-00395-5_97
https://repository.urosario.edu.co/handle/10336/23325
- Palabra clave:
- Complex network structures
Metaheuristics
Modeling and simulation
Non-classical topologies
Political granularity
Political regimes
Sociopolitical self-organization
- Rights
- License
- Abierto (Texto Completo)
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b603e6fa-14ed-4b0b-b3de-34de2fc19041-12020-05-26T00:01:10Z2020-05-26T00:01:10Z2013In this paper we highlight the scopes of engineering bio-inspired political systems: political systems based on the properties of life that self-organize the increasing complexity of human social systems. We describe bio-inspired political systems and conjecture about various ways to get to them—most notably, metaheuristics, modeling and simulation and complexified topologies. Bio-inspired political systems operate with nature-based dynamics, inspired on the knowledge that has been acquired about complexity from natural social systems and life. Bio-inspired political systems are presented as the best alternative for organizing human sociopolitical interactions as computation and microelectronics-based technology profoundly modify the ways in which humans decide. Therefore, weakening classical political systems. For instance, dwindling top-down power structures, modifying the notion of geographical spatiality and augmenting the political granularity. We also argue that, more than a new theoretical proposal, bio-inspired political systems are coming to be the political systems of the future. © Springer International Publishing Switzerland 2013.application/pdfhttps://doi.org/10.1007/978-3-319-00395-5_97https://repository.urosario.edu.co/handle/10336/23325engSpringer812785Springer Proceedings in ComplexitySpringer Proceedings in Complexity,(2013); pp. 785-812https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060473380&doi=10.1007%2f978-3-319-00395-5_97&partnerID=40&md5=fc0efea92de472da70857545a03d4e16Abierto (Texto Completo)http://purl.org/coar/access_right/c_abf2instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURComplex network structuresMetaheuristicsModeling and simulationNon-classical topologiesPolitical granularityPolitical regimesSociopolitical self-organizationBio-inspired political systems: Opening a fieldbookPartParte de librohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_3248Mezza-Garcia, Nathalie10336/23325oai:repository.urosario.edu.co:10336/233252022-05-02 07:37:14.516841https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co |
dc.title.spa.fl_str_mv |
Bio-inspired political systems: Opening a field |
title |
Bio-inspired political systems: Opening a field |
spellingShingle |
Bio-inspired political systems: Opening a field Complex network structures Metaheuristics Modeling and simulation Non-classical topologies Political granularity Political regimes Sociopolitical self-organization |
title_short |
Bio-inspired political systems: Opening a field |
title_full |
Bio-inspired political systems: Opening a field |
title_fullStr |
Bio-inspired political systems: Opening a field |
title_full_unstemmed |
Bio-inspired political systems: Opening a field |
title_sort |
Bio-inspired political systems: Opening a field |
dc.subject.keyword.spa.fl_str_mv |
Complex network structures Metaheuristics Modeling and simulation Non-classical topologies Political granularity Political regimes Sociopolitical self-organization |
topic |
Complex network structures Metaheuristics Modeling and simulation Non-classical topologies Political granularity Political regimes Sociopolitical self-organization |
description |
In this paper we highlight the scopes of engineering bio-inspired political systems: political systems based on the properties of life that self-organize the increasing complexity of human social systems. We describe bio-inspired political systems and conjecture about various ways to get to them—most notably, metaheuristics, modeling and simulation and complexified topologies. Bio-inspired political systems operate with nature-based dynamics, inspired on the knowledge that has been acquired about complexity from natural social systems and life. Bio-inspired political systems are presented as the best alternative for organizing human sociopolitical interactions as computation and microelectronics-based technology profoundly modify the ways in which humans decide. Therefore, weakening classical political systems. For instance, dwindling top-down power structures, modifying the notion of geographical spatiality and augmenting the political granularity. We also argue that, more than a new theoretical proposal, bio-inspired political systems are coming to be the political systems of the future. © Springer International Publishing Switzerland 2013. |
publishDate |
2013 |
dc.date.created.spa.fl_str_mv |
2013 |
dc.date.accessioned.none.fl_str_mv |
2020-05-26T00:01:10Z |
dc.date.available.none.fl_str_mv |
2020-05-26T00:01:10Z |
dc.type.eng.fl_str_mv |
bookPart |
dc.type.coarversion.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_3248 |
dc.type.spa.spa.fl_str_mv |
Parte de libro |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1007/978-3-319-00395-5_97 |
dc.identifier.uri.none.fl_str_mv |
https://repository.urosario.edu.co/handle/10336/23325 |
url |
https://doi.org/10.1007/978-3-319-00395-5_97 https://repository.urosario.edu.co/handle/10336/23325 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.citationEndPage.none.fl_str_mv |
812 |
dc.relation.citationStartPage.none.fl_str_mv |
785 |
dc.relation.citationTitle.none.fl_str_mv |
Springer Proceedings in Complexity |
dc.relation.ispartof.spa.fl_str_mv |
Springer Proceedings in Complexity,(2013); pp. 785-812 |
dc.relation.uri.spa.fl_str_mv |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060473380&doi=10.1007%2f978-3-319-00395-5_97&partnerID=40&md5=fc0efea92de472da70857545a03d4e16 |
dc.rights.coar.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
dc.rights.acceso.spa.fl_str_mv |
Abierto (Texto Completo) |
rights_invalid_str_mv |
Abierto (Texto Completo) http://purl.org/coar/access_right/c_abf2 |
dc.format.mimetype.none.fl_str_mv |
application/pdf |
dc.publisher.spa.fl_str_mv |
Springer |
institution |
Universidad del Rosario |
dc.source.instname.spa.fl_str_mv |
instname:Universidad del Rosario |
dc.source.reponame.spa.fl_str_mv |
reponame:Repositorio Institucional EdocUR |
repository.name.fl_str_mv |
Repositorio institucional EdocUR |
repository.mail.fl_str_mv |
edocur@urosario.edu.co |
_version_ |
1814167636394639360 |