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...

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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
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License
Abierto (Texto Completo)
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oai_identifier_str oai:repository.urosario.edu.co:10336/23325
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network_name_str Repositorio EdocUR - U. Rosario
repository_id_str
spelling 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
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