| '''Complex systems biology''' ('''CSB''') is a branch or subfield of [[mathematical and theoretical biology]] concerned with [[complexity]] of both structure and function in biological organisms, as well as the emergence and evolution of organisms and species, with emphasis being placed on the [[interconnectivity|complex interactions]] of, and within, [[Biological network inference|bionetworks]],<ref>{{cite book |author1=Sprites, P |author2=Glymour, C |author3=Scheines, R |year=2000 |title= Causation, Prediction, and Search: Adaptive Computation and Machine Learning |edition=2nd |publisher=[[MIT Press]] |isbn=}}</ref> and on the fundamental relations and [[Relational algebra|relational patterns]] that are essential to life.<ref>Donald Snooks, Graeme, "A general theory of complex living systems: Exploring the demand side of dynamics", ''Complexity'', vol. 13, no. 6, July/August 2008.</ref><ref name="Bonner">Bonner, J. T. 1988. The Evolution of Complexity by Means of Natural Selection. Princeton: Princeton University Press.</ref><ref name="ReferenceA">{{cite journal | last1 = Rosen | first1 = R. | year = 1958a | title = A Relational Theory of Biological Systems | url = | journal = Bulletin of Mathematical Biophysics | volume = 20 | issue = 3| pages = 245–260 | doi=10.1007/bf02478302}}</ref><ref>{{cite journal | last1 = Baianu | first1 = I. C. | year = 2006 | title = Robert Rosen's Work and Complex Systems Biology | url = | journal = Axiomathes | volume = 16 | issue = 1–2| pages = 25–34 | doi=10.1007/s10516-005-4204-z| s2cid = 4673166 }}</ref><ref name="Rosen">{{cite journal | last1 = Rosen | first1 = R. | year = 1958b | title = The Representation of Biological Systems from the Standpoint of the Theory of Categories | url = | journal = Bulletin of Mathematical Biophysics | volume = 20 | issue = 4| pages = 317–341 | doi=10.1007/bf02477890}}</ref> CSB is thus a field of theoretical sciences aimed at discovering and [[Relational model|modeling the relational patterns]] essential to life that has only a partial overlap with [[complex systems theory]],<ref name="springerlink">{{cite journal | last1 = Baianu | first1 = I. C. | last2 = Brown | first2 = R. | last3 = Glazebrook | first3 = J. F. | year = 2007 | title = Categorical Ontology of Complex Spacetime Structures: The Emergence of Life and Human Consciousness | url = | journal = Axiomathes | volume = 17 | issue = 3–4| pages = 223–352 | doi = 10.1007/s10516-007-9011-2 | citeseerx = 10.1.1.145.9486 | s2cid = 123179302 }}</ref> and also with the systems approach to biology called [[systems biology]]; this is because the latter is restricted primarily to simplified models of biological organization and organisms, as well as to only a general consideration of philosophical or semantic questions related to complexity in biology.{{citation needed|date=June 2012}} Moreover, a wide range of abstract theoretical [[complex systems]] are studied as a field of [[applied mathematics]], with or without relevance to biology, chemistry or physics. | | '''Complex systems biology''' ('''CSB''') is a branch or subfield of [[mathematical and theoretical biology]] concerned with [[complexity]] of both structure and function in biological organisms, as well as the emergence and evolution of organisms and species, with emphasis being placed on the [[interconnectivity|complex interactions]] of, and within, [[Biological network inference|bionetworks]],<ref>{{cite book |author1=Sprites, P |author2=Glymour, C |author3=Scheines, R |year=2000 |title= Causation, Prediction, and Search: Adaptive Computation and Machine Learning |edition=2nd |publisher=[[MIT Press]] |isbn=}}</ref> and on the fundamental relations and [[Relational algebra|relational patterns]] that are essential to life.<ref>Donald Snooks, Graeme, "A general theory of complex living systems: Exploring the demand side of dynamics", ''Complexity'', vol. 13, no. 6, July/August 2008.</ref><ref name="Bonner">Bonner, J. T. 1988. The Evolution of Complexity by Means of Natural Selection. Princeton: Princeton University Press.</ref><ref name="ReferenceA">{{cite journal | last1 = Rosen | first1 = R. | year = 1958a | title = A Relational Theory of Biological Systems | url = | journal = Bulletin of Mathematical Biophysics | volume = 20 | issue = 3| pages = 245–260 | doi=10.1007/bf02478302}}</ref><ref>{{cite journal | last1 = Baianu | first1 = I. C. | year = 2006 | title = Robert Rosen's Work and Complex Systems Biology | url = | journal = Axiomathes | volume = 16 | issue = 1–2| pages = 25–34 | doi=10.1007/s10516-005-4204-z| s2cid = 4673166 }}</ref><ref name="Rosen">{{cite journal | last1 = Rosen | first1 = R. | year = 1958b | title = The Representation of Biological Systems from the Standpoint of the Theory of Categories | url = | journal = Bulletin of Mathematical Biophysics | volume = 20 | issue = 4| pages = 317–341 | doi=10.1007/bf02477890}}</ref> CSB is thus a field of theoretical sciences aimed at discovering and [[Relational model|modeling the relational patterns]] essential to life that has only a partial overlap with [[complex systems theory]],<ref name="springerlink">{{cite journal | last1 = Baianu | first1 = I. C. | last2 = Brown | first2 = R. | last3 = Glazebrook | first3 = J. F. | year = 2007 | title = Categorical Ontology of Complex Spacetime Structures: The Emergence of Life and Human Consciousness | url = | journal = Axiomathes | volume = 17 | issue = 3–4| pages = 223–352 | doi = 10.1007/s10516-007-9011-2 | citeseerx = 10.1.1.145.9486 | s2cid = 123179302 }}</ref> and also with the systems approach to biology called [[systems biology]]; this is because the latter is restricted primarily to simplified models of biological organization and organisms, as well as to only a general consideration of philosophical or semantic questions related to complexity in biology.{{citation needed|date=June 2012}} Moreover, a wide range of abstract theoretical [[complex systems]] are studied as a field of [[applied mathematics]], with or without relevance to biology, chemistry or physics. |
− | A complete definition of [[complexity]] for individual organisms, species, ecosystems, biological evolution and the biosphere has eluded researchers, and still is an ongoing issue.<ref name="Bonner" /><ref>Heylighen, Francis (2008). "Complexity and Self-Organization". In Bates, Marcia J.; Maack, Mary Niles. Encyclopedia of Library and Information Sciences. CRC.</ref>
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