NDLI: Unifying Complexity and Information

Content Provider	PubMed Central
Author	Ke, Da-guan
Copyright Year	2013
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.
Related Links	http://dx.doi.org/10.1038/srep01585
Starting Page	1585
File Format	PDF
ISSN	20452322
e-ISSN	20452322
Journal	Scientific Reports
Volume Number	3
Language	English
Publisher	Nature Publishing Group
Publisher Date	2013-04-01
Access Restriction	Open
Rights Holder	Nature Publishing Group
Subject Keyword	Science and technology Research in Higher Education
Content Type	Text
Resource Type	Article
Subject	Multidisciplinary

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Unifying Complexity and Information

A Unifying Framework for Measuring Weighted Rich Clubs

BRAID: A Unifying Paradigm for the Analysis of Combined Drug Action

Food-web complexity, meta-community complexity and community stability

Efficiency Theory: a Unifying Theory for Information, Computation and Intelligence

Outlier-resilient complexity analysis of heartbeat dynamics

A UNIFYING PRINCIPAL IN QUANTIFICATION THEORY

Natural lecithin promotes neural network complexity and activity

Complexity and diversity of eyes in Early Cambrian ecosystems

Unifying Complexity and Information

Similar Documents

Unifying Complexity and Information

A Unifying Framework for Measuring Weighted Rich Clubs

BRAID: A Unifying Paradigm for the Analysis of Combined Drug Action

Food-web complexity, meta-community complexity and community stability

Efficiency Theory: a Unifying Theory for Information, Computation and Intelligence

Outlier-resilient complexity analysis of heartbeat dynamics

A UNIFYING PRINCIPAL IN QUANTIFICATION THEORY

Natural lecithin promotes neural network complexity and activity

Complexity and diversity of eyes in Early Cambrian ecosystems

Unifying Complexity and Information