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  1. I. C. Baianu, R. Brown & J. F. Glazebrook (2007). Universal Ontology of SpaceTime in Complex Systems. Axiomathes 17.
     
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  2. R. Brown, J. F. Glazebrook & I. C. Baianu (2007). A Categorical and Higher Dimensional Algebra Framework for Complex Systems and Spacetime Structures. Axiomathes 17:409-493.
     
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  3. R. Brown, J. F. Glazebrook & I. C. Baianu (2007). A Conceptual and Categorical Framework in the Ontology of Levels. Axiomathes 17.
     
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  4. R. Brown, J. F. Glazebrook & I. C. Baianu (2007). A Conceptual Construction of Complexity Levels Theory in Spacetime Categorical Ontology: Non-Abelian Algebraic Topology, Many-Valued Logics and Dynamic Systems. [REVIEW] Axiomathes 17 (3-4):409-493.
    A novel conceptual framework is introduced for the Complexity Levels Theory in a Categorical Ontology of Space and Time. This conceptual and formal construction is intended for ontological studies of Emergent Biosystems, Super-complex Dynamics, Evolution and Human Consciousness. A claim is defended concerning the universal representation of an item’s essence in categorical terms. As an essential example, relational structures of living organisms are well represented by applying the important categorical concept of natural transformations to biomolecular reactions and relational structures that (...)
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  5. R. Brown, J. F. Glazebrook & I. C. Baianu (2007). A Conceptual, Categorical and Higher Dimensional Algebra Framework for Highly Complex Structures, Dynamics and Quantum Gravity. Axiomathes 17:259-312.
     
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  6. I. C. Baianu, R. Brown, G. Georgescu & J. F. Glazebrook (2006). Complex Non-Linear Biodynamics in Categories, Higher Dimensional Algebra and Łukasiewicz–Moisil Topos: Transformations of Neuronal, Genetic and Neoplastic Networks. [REVIEW] Axiomathes 16 (1-2):65-122.
    A categorical, higher dimensional algebra and generalized topos framework for Łukasiewicz–Moisil Algebraic–Logic models of non-linear dynamics in complex functional genomes and cell interactomes is proposed. Łukasiewicz–Moisil Algebraic–Logic models of neural, genetic and neoplastic cell networks, as well as signaling pathways in cells are formulated in terms of non-linear dynamic systems with n-state components that allow for the generalization of previous logical models of both genetic activities and neural networks. An algebraic formulation of variable ‘next-state functions’ is extended to a Łukasiewicz–Moisil (...)
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