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Renormalization of Hierarchy and Semantic Computing

Renormalization of Hierarchy and Semantic Computing
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摘要 In the setting of boundedness, the renormalization acquires new meaning and implementation: it appears as generic operational protocol available for intelligent complex systems aimed towards essential non-extensive reduction of computation costs and non-extensive speeding up of computing. Another advantage of the proposed above renormalization is that, along with reduction of computation costs and speeding up of computing, it allows further hierarchical super-structuring where the same properties of speeding up the computing and reduction of computation costs hold. The fundamental novelty of that renormalization is provided by a highly non-trivial interplay between structural and functional properties. In the setting of boundedness, the renormalization acquires new meaning and implementation: it appears as generic operational protocol available for intelligent complex systems aimed towards essential non-extensive reduction of computation costs and non-extensive speeding up of computing. Another advantage of the proposed above renormalization is that, along with reduction of computation costs and speeding up of computing, it allows further hierarchical super-structuring where the same properties of speeding up the computing and reduction of computation costs hold. The fundamental novelty of that renormalization is provided by a highly non-trivial interplay between structural and functional properties.
机构地区 Institute of Catalysis
出处 《Journal of Modern Physics》 2018年第3期335-348,共14页 现代物理(英文)
关键词 RENORMALIZATION BOUNDEDNESS HIERARCHY Decomposition Theorem SEMANTIC COMPUTING MARKOV Process Renormalization Boundedness Hierarchy Decomposition Theorem Semantic Computing Markov Process
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