Literature DB >> 18489246

Criteria for conceptual and operational notions of complexity.

Dominique Chu1.   

Abstract

While complex systems have been studied now for more than two decades, there still is no agreement on what complexity actually is. This lack of a definition might be a problem when asking questions about the evolution of complexity. In this article criteria against which candidate measures of complexity can be assessed are discussed. The main conclusion of this article is that because of the absence of a basic consensus on what complexity is, there is no criterion that can be used to decide whether or not a proposed measure actually measures complexity. The main recommendation is to abandon complexity as a formal notion; instead, research into the evolution of complexity should use well-understood proxy notions (as is sometimes done in the literature). For the time being "complexity" should remain an informal notion. Research into evolutionary trends of these proxy notions might eventually lead to an emergent community consensus on what complexity is.

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Year:  2008        PMID: 18489246     DOI: 10.1162/artl.2008.14.3.14306

Source DB:  PubMed          Journal:  Artif Life        ISSN: 1064-5462            Impact factor:   0.667


  3 in total

1.  The emergence of complexity and restricted pleiotropy in adapting networks.

Authors:  Hervé Le Nagard; Lin Chao; Olivier Tenaillon
Journal:  BMC Evol Biol       Date:  2011-11-07       Impact factor: 3.260

2.  Sexual display complexity varies non-linearly with age and predicts breeding status in greater flamingos.

Authors:  Charlotte Perrot; Arnaud Béchet; Céline Hanzen; Antoine Arnaud; Roger Pradel; Frank Cézilly
Journal:  Sci Rep       Date:  2016-11-24       Impact factor: 4.379

3.  Robustness and evolvability of heterogeneous cell populations.

Authors:  Andrei Kucharavy; Boris Rubinstein; Jin Zhu; Rong Li
Journal:  Mol Biol Cell       Date:  2018-04-05       Impact factor: 4.138

  3 in total

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