Cohesion and Complex System Structure

Paggi Straneo, Horacio; Alonso Amo, Fernando y Crespo del Arco, Jose (2010). Cohesion and Complex System Structure. En: "Systemics and Informatics World Network, SIWN 2010", 12/07/2010 - 14/07/2010, Chongqing, China. ISBN ISSN: 2044-7272.


Título: Cohesion and Complex System Structure
  • Paggi Straneo, Horacio
  • Alonso Amo, Fernando
  • Crespo del Arco, Jose
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: Systemics and Informatics World Network, SIWN 2010
Fechas del Evento: 12/07/2010 - 14/07/2010
Lugar del Evento: Chongqing, China
Título del Libro: Proceedings of Systemics and Informatics World Network, SIWN 2010
Fecha: Julio 2010
ISBN: ISSN: 2044-7272
Palabras Clave Informales: emergence conditions, fuzzy probabilities, holon, holon cohesion, informon, self-organization
Escuela: Facultad de Informática (UPM) [antigua denominación]
Departamento: Lenguajes y Sistemas Informáticos e Ingeniería del Software
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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In the self-organizing complex dynamical systems that form holarchies, the decisions (or reactions) of their components (constituents) sometimes are crucial because they may involve the proper existence of the system. Additionally, in the real world, these components are immersed in highly complex environments of which have an incomplete or inadequate knowledge and they can’t be completely consistent about their preferences and their beliefs, can show a bounded rationality, etc. All these circumstances affect the way in which the components not only behave, but also emerge and disappear. In this work the necessary and sufficient conditions previously given for the holons formation are reviewed in the light of these facts using for the uncertainty/randomness handling the fuzzy probabilities theory (thus modeling the decision making process through the fuzzy decision making under risk theory), and, from these conditions, the concept of holon cohesion is derived and introduced as a generalization of the reliability of a system.

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Depositado por: Memoria Investigacion
Depositado el: 20 May 2011 09:16
Ultima Modificación: 20 Abr 2016 16:19
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