2014/01/27 by Vladimir S. Lerner, Lerner, Vladimir S.
Biochemistry, Genetics and Molecular Biology · Computer Science · #58J65 #60J65 #93B52 #93E02 #93E15 #93E30 #Adaptation and Self-Organizing Systems (nlin.AO) #Cognitive Computing and Networks #Computational Physics and Python Applications #FOS: Physical sciences #Fractal and DNA sequence analysis #H.1.1
paper · pdf · doi:10.48550/arxiv.1401.7041
openalex publication_date 2014/01/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Finding observing path creating its observer is important problem in physics\nand information science. In observing processes, each observation is act\nchanging the observing process that generates interactive observation. Each\ninteraction is discrete Yes-No impulse modeling Bit. Recurring inter-actions\nindependent of physical nature is phenomenon of information. Multiple\ninteractions generate random Markov chains covering multiple Bits. Impulse No\naction cuts maximum entropy-uncertainty, Yes action transfers cut minimum to\nnext impulse creating maximin principle decreasing uncertainty. The cutoff\nentropies reveal hidden information naturally observing interactive impulse as\nelementary observer. Conversion impulse entropies to information integrates\npath functional. The maxmin variation principle formalizes interactive\ninformation equations. Merging Yes-No actions generate microprocess within\nbordered impulses running superposition of conjugated entropies entangling\nduring time interval within forming space intervals. Interaction curves impulse\ngeometry creating asymmetry which logically erases entangled entropy removing\ncausal probabilistic entropy with symmetrical reversible logic and bringing\nasymmetrical information logic. Entropy-information topological gap connects\nasymmetrical logic with physical Markov diffusion whose energy memorizes\nlogical Bit. Moving Bits selfform unit of information macroprocess attracting\nnew UP through free Information. Multiple UP triples adjoin hierarchical\nnetwork (IN) whose free information produces new UP at higher level node and\nencodes triple code logic. Each UP unique position in IN hierarchy defines\nlocation of each code logical structure. The IN node hierarchical level\nclassifies quality of assembled Information. Ending IN node enfolds all IN\nlevels. Multiple INs enclose Observer cognition and intelligence with\nconsciousness.\n