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category of  --systems
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Robert Rosen introduced metabolic-repair models, or $(M,R)$ -systems in mathematical biology (abstract relational biology) in 1957 ([4,5]); such systems will be here abbreviated as $MR$ -systems, (or simply $MR$ 's). Rosen, then represented the $MR$ 's in terms of categories of sets, deliberately selected without
any structure other than the discrete topology of sets.
Definition 0.1 The simplest $MR$ -system is a relational model of the primordial organism which is defined by the following categorical sequence (or diagram) of sets and set-theoretical mappings: $f: A \rightarrow B, \phi: B \rightarrow Hom_{MR}(A,B)$ , where $A$ is the set of inputs to the $MR$ -system, $B$ is the set of its outputs, and $\phi$ is the `repair map', or $R$ -component, of the $MR$ -system which associates to a certain product, or output $b$ , the `metabolic' component (such as an enzyme, E, for example) represented by the set-theoretical mapping $f$ . Then, $Hom_{MR}(A,B)$ is defined as the set of all such metabolic (set-theoretical) mappings (occasionally written incorrectly by some authors as $\left\{f\right\}$ ).
Definition 0.2 A general $(M,R)$ -system was defined by Rosen (1958a,b) as the network or graph of the metabolic and repair components that were specified above in Definition 0.1; such components are networked in a complex, abstract `organism' defined by all the abstract relations and connecting maps between the sets specifying all the metabolic and repair components of such a general, abstract model of the biological organism. The mappings bettwen $(M,R)$ -systems are defined as the the metabolic and repair set-theoretical mappings,
such as $f$ and $\phi$ (specified in Definition 0.1); moreover, there is also a finite number of sets (just like those that are defined as in Definition 0.1): $A_i, B_i$ , whereas $f \in Hom_{MR_i}(A_i,B_i)$ and $\phi \in Hom_{MR_i}[B, Hom_{MR_i}(A_i,B_i)]$ , with $i \in I$ , and $I$ being a finite index set, or directed set, with $(f,\phi)$ being a
finite number of distinct metabolic and repair components pairs. Alternatively, one may think of a a general $MR$ -system as being `made of' a finite number $N$ of interconnected $MR_i$ , metabolic-repair modules with input sets $A_i$ and output sets $B_i$ . To sum up: a general MR-system can be defined as a family of interconnected quartets: $\left\{(A_i, B_i, f_i, \phi_i)\right\}_{i \in I}$ , where $I$ is an index set of integers $i=1, 2,
..., n$ .
Definition 0.3
A category of $(M,R)$ -system quartet modules, $\left\{(A_i, B_i, f_i, \phi_i)\right\}_{i \in I}$ , with I being an index set of integers $i=1,2,..., n$ , is a small category of sets with set-theoretical mappings defined by the MR-morphisms between the quarted modules $\left\{(A_i, B_i, f_i, \phi_i)\right\}_{i \in I}$ , and also with repair components defined as $\phi_i \in Hom_{MR_i}[B, Hom_{MR_i}(A_i,B_i)]$ , with the $(M,R)$ -morphism composition defined by the usual composition of functions between sets.
With a few, additional notational changes it can be shown that the category of $(M,R)$ -systems is a subcategory of the category of automata (or sequential machines), $\mathcal{S}_{[M,A]}$ ([7,8]).
Remark 0.1 For over two decades, Robert Rosen developed with several coworkers the MR-systems theory and its applications to life sciences, medicine and general systems theory. He also considered biocomplexity to be an `emergent', defining feature of organisms which is not reducible in terms of the molecular structures (or molecular components) of the organism and their physicochemical interactions. However, in his last written book in 1997 on ``Essays on Life
Itself", published posthumously in 2000, Robert Rosen finally accepted the need for representing organisms in terms of categories with structure that entail biological functions, both metabolic and repair ones. Note also that, unlike Rashevsky in his theory of organismic sets, Rosen did not attempt to extend the $MR$ s to modeling societies, even though with appropriate modifications of generalized $(M,R)$ -system categories with structure ([ 7, 8, 13]), this is feasible and yields meaningful mathematical and sociological results. Thus, subsequent publications have generalized MR-system (GMRs) and have studied the fundamental, mathematical properties of algebraic categories of GMRs that were constructed functorially based on the Yoneda-Grothendieck Lemma and construction. Then it was shown that such algebraic categories of GMRs are Cartesian closed [ 7]. Several molecular biology realizations of GMRs in terms of DNA, RNAs, enzymes, $RNA \to DNA$ -reverse trancriptases, and other biomolecular components were subsequently introduced and discussed in ref. [ 21, 13, 14] in terms of non-linear genetic network models in many-valued, $LM_n$ logic algebras (or algebraic category $\mathcal{LM}$ of $LM_n$ logic algebras).
- 1
- Rashevsky, N.: 1965, The Representation of Organisms in Terms of Predicates, Bulletin of Mathematical Biophysics 27: 477-491.
- 2
- Rashevsky, N.: 1969, Outline of a Unified Approach to Physics, Biology and Sociology., Bulletin of Mathematical Biophysics 31: 159-198.
- 3
- Rosen, R.: 1985, Anticipatory Systems, Pergamon Press: New York.
- 4
- Rosen, R.: 1958a, A Relational Theory of Biological Systems Bulletin of Mathematical Biophysics 20: 245-260.
- 5
- Rosen, R.: 1958b, The Representation of Biological Systems from the Standpoint of the Theory of Categories., Bulletin of Mathematical Biophysics 20: 317-341.
- 6
- Rosen, R.: 1987, On Complex Systems, European Journal of Operational Research 30:129-134.
- 7
- Baianu, I.C.: 1973, Some Algebraic Properties of (M,R) - Systems. Bulletin of Mathematical Biophysics 35, 213-217.
- 8
- Baianu, I.C. and M. Marinescu: 1974, On A Functorial Construction of (M,R)- Systems. Revue Roumaine de Mathematiques Pures et Appliquées 19: 388-391.
- 9
- Baianu, I.C.: 1980, Natural Transformations of Organismic Structures., Bulletin of Mathematical Biology,42: 431-446.
- 10
- I.C. Baianu: 1977, A Logical Model of Genetic Activities in
 ukasiewicz Algebras: The Non-linear Theory. Bulletin of Mathematical Biophysics, 39: 249-258.
- 11
- I.C. Baianu: 1983, Natural Transformation Models in Molecular Biology., in Proceedings of the SIAM Natl. Meet., Denver, CO.; An Eprint is here available .
- 12
- I.C. Baianu: 1984, A Molecular-Set-Variable Model of Structural and Regulatory Activities in Metabolic and Genetic Networks., FASEB Proceedings 43, 917.
- 13
- I.C. Baianu: 1987a, Computer Models and Automata Theory in Biology and Medicine., in M. Witten (ed.), Mathematical Models in Medicine, vol. 7., Pergamon Press, New York, 1513-1577; CERN Preprint No. EXT-2004-072:.
- 14
- I.C. Baianu: 1987b, Molecular Models of Genetic and Organismic Structures, in Proceed. Relational Biology Symp. Argentina; CERN Preprint No.EXT-2004-067:MolecularModelsICB3.doc.
- 15
- I.C. Baianu, Glazebrook, J. F. and G. Georgescu: 2004, Categories of Quantum Automata and N-Valued
 ukasiewicz Algebras in Relation to Dynamic Bionetworks, (M,R)-Systems and Their Higher Dimensional Algebra, Abstract of Report is here available as a PDF and html document
- 16
- R. Brown, J. F. Glazebrook and I. C. Baianu: A categorical and higher dimensional algebra framework for complex systems and spacetime structures, Axiomathes 17:409-493. (2007).
- 17
- L. L$\ddot{o}$ fgren: 1968. On Axiomatic Explanation of Complete Self-Reproduction. Bull. Math. Biophysics, 30: 317-348.
- 18
- Baianu, I.C.: 2004a.
 ukasiewicz-Topos Models of Neural Networks, Cell Genome and Interactome Nonlinear Dynamic Models (2004). Eprint. Cogprints-Sussex Univ.
- 19
- Baianu, I.C.: 2004b
 ukasiewicz-Topos Models of Neural Networks, Cell Genome and Interactome Nonlinear Dynamics). CERN Preprint EXT-2004-059. Health Physics and Radiation Effects (June 29, 2004).
- 20
- Baianu, I. C.: 2006, Robert Rosen's Work and Complex Systems Biology, Axiomathes 16(1-2):25-34.
- 21
- Baianu I. C., Brown R., Georgescu G. and J. F. Glazebrook: 2006, Complex Nonlinear Biodynamics in Categories, Higher Dimensional Algebra and
 ukasiewicz-Moisil Topos: Transformations of Neuronal, Genetic and Neoplastic Networks., Axiomathes, 16 Nos. 1-2: 65-122.
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See Also: mathematical biology and theoretical biophysics, general system definitions, artificial intelligence, complex systems biology, index of categories
| Other names: |
MR-systems, metabolic-replication systems |
| Also defines: |
MR-system, general MR-system, MR-quartet, morphism of MR-quartets |
| Keywords: |
MR-systems, categorical algebra of MR-systems, metabolic-replication in complex biological systems, molecular biology realizations of GMRs, nonlinear genetic network models in many-valued  logic algebras, DNA, RNAs, enzymes, reverse transcriptase,  -reverse transcriptase, general MR-system, morphism of MR-quartets, general MR-system category, --systems, metabolic-replication systems, categories of sets, categories of complex systems, complex systems biology, abstract relational biology, mathematical biology and mathematical biophysics, generalized MR-system categories, algebraic categories of GMR--systems, Yoneda--Grothendieck Lemma, functorial constructions of GMRs, Cartesian closed categories, molecular biology realizations of GMRs |
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Cross-references: logic algebras, genetic network, Cartesian closed, algebraic categories, properties, feasible, modifications, even, organismic sets, entail, reducible, general systems, applications, theory, sequential machines, category of automata, subcategory, functions, composition, small category, category, integers, sum, modules, directed set, index set, number, finite, relations, complex, graph, component, product, associates, mappings, diagram, categorical sequence, discrete topology, structure, categories of sets, terms, Robert Rosen
There are 4 references to this entry.
This is version 57 of category of  --systems, born on 2008-08-09, modified 2009-02-14.
Object id is 10927, canonical name is CategoryOfMRSystems3.
Accessed 2389 times total.
Classification:
| AMS MSC: | 92B05 (Biology and other natural sciences :: Mathematical biology in general :: General biology and biomathematics) | | | 92B20 (Biology and other natural sciences :: Mathematical biology in general :: Neural networks, artificial life and related topics) | | | 93A30 (Systems theory; control :: General :: Mathematical modeling ) | | | 93A10 (Systems theory; control :: General :: General systems) | | | 18-00 (Category theory; homological algebra :: General reference works ) | | | 92B99 (Biology and other natural sciences :: Mathematical biology in general :: Miscellaneous) |
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