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Information Measures of Complexity, Emergence, Self-organization, Homeostasis, and Autopoiesis

  • Chapter
Guided Self-Organization: Inception

Part of the book series: Emergence, Complexity and Computation ((ECC,volume 9))

Abstract

In recent decades, the scientific study of complex systems (Bar-Yam 1997; Mitchell 2009) has demanded a paradigm shift in our worldviews (Gershenson et al. 2007; Heylighen et al. 2007). Traditionally, science has been reductionistic. Still, complexity occurs when components are difficult to separate, due to relevant interactions. These interactions are relevant because they generate novel informationwhich determines the future of systems. This fact has several implications (Gershenson 2013).

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Author information

Authors and Affiliations

  1. Laboratorio de Hidroinformática, Facultad de Ciencias Básicas, Univesidad de Pamplona, Pamplona, Colombia

    Nelson Fernández

  2. Centro de Micro-electrónica y Sistemas Distribuidos, Universidad de los Andes, Mérida, Venezuela

    Nelson Fernández

  3. Facultad de Ciencias, Universidad Nacional Autónoma de México, México, México

    Carlos Maldonado

  4. Departamento de Ciencias de la Computación, Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas, Universidad Nacional Autónoma de México, México, México

    Carlos Maldonado & Carlos Gershenson

  5. Centro de Ciencias de la Complejidad, Universidad Nacional Autónoma de México, México, México

    Carlos Gershenson

Authors
  1. Nelson Fernández
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  2. Carlos Maldonado
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  3. Carlos Gershenson
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Corresponding author

Correspondence to Nelson Fernández .

Editor information

Editors and Affiliations

  1. CSIRO ICT Centre, Epping, Australia

    Mikhail Prokopenko

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Fernández, N., Maldonado, C., Gershenson, C. (2014). Information Measures of Complexity, Emergence, Self-organization, Homeostasis, and Autopoiesis. In: Prokopenko, M. (eds) Guided Self-Organization: Inception. Emergence, Complexity and Computation, vol 9. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53734-9_2

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  • DOI: https://doi.org/10.1007/978-3-642-53734-9_2

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