Modeling spread,interlace and interchange of information processes with variable domains |
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| Affiliation: | 1. National Research Nuclear University “Moscow Engineering Physics Institute”, Moscow 115409, Russian Federation;2. NAO “JurInfoR”, Moscow 119435, Russian Federation;1. Departments of Computer Science of Purdue University, USA;2. TU Darmstadt, Germany;3. IMDEA Networks Institute, Spain;4. National Research University Higher School of Economics, St. Petersburg, Russia;5. Steklov Mathematical Institute at St. Petersburg, Russia;6. International Laboratory for Applied Network Research at National Research University Higher School of Economics, Moscow, Russia;1. Institute of Problems of Chemical Physics, Russian Academy of Sciences, Acad. Semenov Ave,1, Chernogolovka, Moscow Region 142432, Russia;2. Talrose Institute of Energy Problems of Chemical Physics (Branch), Russian Academy of Sciences, Acad. Semenov Ave,1, Chernogolovka, Moscow Region 142432, Russia;1. School of Computer Science and Engineering, Beihang University, Beijing, 100191, China;2. School of Computer Science, McGill University, Montreal, Canada, H3A2T5;3. National Institute of Telecommunications (Inatel), 37540-000 Santa Rita do Sapucaí - MG, Brazil;4. Instituto de Telecomunicações, 6201-001 Covilhã, Portugal;5. University of Fortaleza (UNIFOR), 60811-905 Fortaleza-CE, Brazil;6. ITMO University, 191002 St. Petersburg, Russia;1. Russian State University for the Humanities, Moscow, Russia;2. National Research Center “Kurchatov Institute”, Moscow, Russia;3. National Research Nuclear University MEPhI, Moscow, Russia;4. Institute for Advanced Brain Studies, Lomonosov Moscow State University, Moscow, Russia;5. Mental-Health Clinic No. 1 Named after N.A. Alexeev, Moscow, Russia |
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| Abstract: | In this paper a semantic metalanguage is developed and designed to study the occurrence, spread and safe interaction of semantic processes in information modeling systems, including cognitive interference. An approach to construe a semantic network is proposed and based on a computational model in which both nodes and arcs are information processes. Concepts are represented by intensional objects within the framework of theories without types, and they, in turn, are considered as special counterparts of typed theories. Similar mixing was used in model studies for lambda calculus. To a contrast with them, in this paper, information processes correspond to parameterized metadata objects, which are variable domain constructs. Transformations of variable domains correspond to the spread of the process. Directional transformation provides the generation of metadata targets in the form of parameterized concepts. This simulates the development of the process, which corresponds to the spread of cognitive interference and allows the interpretation of a hidden time factor. The emerging model is purely process based and provides such a conceptual framework. The possibility of coding this framework with a system of interdependent lambda terms is reflected. |
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| Keywords: | Information process Cognitive interference Quantum shift learning Natural computing |
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