Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Vladimir S. Lerner"'
Autor:
Vladimir S. Lerner, Malcolm Dean
Publikováno v:
Proceedings, Vol 81, Iss 1, p 77 (2022)
Vladimir Lerner’s Information Macrodynamic (IMD) formalism is the first full application of John Archibald Wheeler’s “It from Bit” approach to physical Information processes. The IMD formalism accounts for the evolution of Information physics
Externí odkaz:
https://doaj.org/article/fa181775d307468b871863ac56e15c59
Autor:
Vladimir S. Lerner
Publikováno v:
Proceedings, Vol 47, Iss 1, p 10 (2020)
Up to now both information and its connection to reality do not have scientifically conclusive definitions, nor implicit origin. They emerge in observing multiple impulses’ interactive yes‒no actions modeling information bits. Each memorized bit
Externí odkaz:
https://doaj.org/article/2769af9ab4e44c59b71beed8fabff2e5
Autor:
Vladimir S. Lerner
Publikováno v:
British Journal of Mathematics & Computer Science. 20:1-35
Autor:
Vladimir S. Lerner
Observers are everywhere, from communicating people, animals, and different species, to any interacting subjects that accept, transform, and exchange information. Up to now, common information regularities, emergence, differentiation, and appearance
Autor:
Vladimir S. Lerner
Publikováno v:
Cybernetics and Systems. 47:339-362
The defined information process starts generating observations of a random process via the logic of probing impulses, sequentially cutting the process entropy measure and creating the discrete information units whose integration enfolds the informati
Autor:
Vladimir S, Lerner
Publikováno v:
Physics of life reviews. 21
Autor:
Vladimir S. Lerner
Publikováno v:
Information Sciences. 184:111-139
Conventional information science considers an information process, but traditionally uses the probability measure for random states and Shannon's entropy as the uncertainty function of these states. This paper presents a new approach, based on an int
Autor:
Vladimir S. Lerner
Publikováno v:
International Journal of Systems Science. 40:729-744
The article introduces a new approach for dynamic modelling using the variation principle, applied to a functional on trajectories of random process, and its connection to the process' information path functional. The synthesised dynamic model is fou
Autor:
Vladimir S. Lerner
Publikováno v:
Journal of Mathematical Analysis and Applications. 353:154-160
The paper introduces the recent results related to an entropy functional on trajectories of a controlled diffusion process, expressed through an additive functional of the diffusion process, with a Lagrangian, determined by the parameters of a contro
Autor:
Vladimir S. Lerner
Publikováno v:
Open Systems & Information Dynamics. 15:231-279
The introduced concept and measure of macrocomplexity (MC) arise in an irreversible macrodynamic cooperative process and determine the process components ability to assemble into an integrated system. MC serves as a common indicator of the origin of