Abstract：
:Complex systems, arising in many contexts in the computer, life, social, and physical sciences, have not shared a generally-accepted complexity measure playing a fundamental role as the Shannon entropy H in statistical mechanics. Superficially-conflicting criteria of complexity measurement, i.e. complexity-randomness (C-R) relations, have given rise to a special measure intrinsically adaptable to more than one criterion. However, deep causes of the conflict and the adaptability are not much clear. Here I trace the root of each representative or adaptable measure to its particular universal data-generating or -regenerating model (UDGM or UDRM). A representative measure for deterministic dynamical systems is found as a counterpart of the H for random process, clearly redefining the boundary of different criteria. And a specific UDRM achieving the intrinsic adaptability enables a general information measure that ultimately solves all major disputes. This work encourages a single framework coving deterministic systems, statistical mechanics and real-world living organisms.
journal_name
Sci Repjournal_title
Scientific reportsauthors
Ke DGdoi
10.1038/srep01585subject
Has Abstractpub_date
2013-01-01 00:00:00pages
1585issn
2045-2322pii
srep01585journal_volume
3pub_type
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journal_title：Scientific reports
pub_type： 杂志文章
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pub_type： 杂志文章
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pub_type： 杂志文章
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pub_type： 已发布勘误
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更新日期：2016-08-19 00:00:00
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更新日期：2016-12-22 00:00:00
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