<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0">
  <channel>
    <title>Auteurs : Mikhail B. Ignatyev</title>
    <link>http://popups.lib.uliege.be/1373-5411/index.php?id=3371</link>
    <description>Publications of Auteurs Mikhail B. Ignatyev</description>
    <language>fr</language>
    <ttl>0</ttl>
    <item>
      <title>Universe as Self-Organizational System</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=4696</link>
      <description>Today in astronomy and astrophysics we have a lot of facts, which need the new explanation. On another side we have the new scientific directions – cybernetics, system analysis, synergetics and informatics, which used for study of complex systems in biology, economics and technics, and naturally to try to consider Universe how complex system and to use the accumulated arsenal of instruments of investigation of self-organizational system. This report is the attempt in this direction. We examine the linguo-combinatorial simulation of solar system, where used how key words the names of planets, and detect the structural uncertainty in equivalent equations systems, which can used for adaptation in flow of changes. The constructed self-organized system is the basic building block, which can create collective on different levels – planetary, galactic, etc. Star clusters are the basic blocks for creation of equivalent equations with structural uncertainty, which can use for stabilization of systems.  Today the understanding of asteroid hazard for mankind is confirmed by means of big amount of experimental facts and theoretical simulation results. The size of asteroids increase the degree of danger, it is obviously impossibility of catastrophe for big asteroids if we will be stay on old scientific paradigm. In this paper we try to search the way from dangerous situation on basement of linguo-combinatorial simulation of complex planet systems. If we shall take the key words - Sun, Mercury, Venus, Earth, Mars, Jupiter, Saturn, Uranus, Neptune, Pluto - 10 variables, we shall have the equivalent equations with 45 arbitrary coefficients. In this equations system A1 – characteristics of Sun, E1 - variation of this characteristics, A2 – characteristics of Mercury, E2 – variation of this characteristics, …, U1, U2,… , U45 – arbitrary coefficients, which permit to control of characteristics. The discovery of this new possibility is very important for mankind in view of asteroids hazard. Big hope is the discovery of new methods for planet processes control. For stability the sun system must be in the adaptation maximum zone. </description>
      <pubDate>Mon, 14 Oct 2024 16:34:42 +0200</pubDate>
      <lastBuildDate>Mon, 14 Oct 2024 16:34:50 +0200</lastBuildDate>
      <guid isPermaLink="true">http://popups.lib.uliege.be/1373-5411/index.php?id=4696</guid>
    </item>
    <item>
      <title>Semantics and Selforganization in Nanoscale Physics</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=3362</link>
      <description>Each complex system interacts with environment, which is changing, and the live of complex system depends on the adaptational possibility of our system. The problem of simulation of condition of guarantee to the adaptational maximum is investigating. It is suggested that the behavior of system with n variables is given to an approximation of m intersecting manifolds, n &amp;gt; m. If the system is considered as a multidimentional generator whereat least a part of variable interact with environment's variables, and if the objective of system is to decrease the functional of discoordination between them, the system control unit has two instruments of influence of the system. First, this is the tuning - the change of underdeterminated coefficients in the structure of the differential equations of system taking account that more is these coefficients the more accurate are the responses of the system to the change of environment. Second, this is the learning - the imposition of new restriction on the systems behavior. The amount of arbitrary coefficients in the structure, of equivalent equations is changing in the process of learning, of consecutive imposition of new and new restrictions on the system behavior. In the systems with the number of variables more than six the amount of arbitrary coefficients increase first and then going through the maximum begin to decrease. This phenomenon permits to explain the processes of growth, complication and death of a system. The existence of adaptational maximum phenomenon is proved by numerous biological, economical and physical-technical systems. We use the linguo-combinatorial method of investigation of the poorly formalized complex system, then we use the key words for creation of equivalent equations. The study of adaptational phenomenon in complex systems permits to increase the adaptational possibility in different systems. This paper discusses utilization of linguo-combinatorial simulation approach for complex systems modeling. When dealing with complex systems one has to consider that conditions and environment are not fully determined. In the course of this paper it is discussed how a poorly formalized system can be efficiently represented and modeled by combinatorial simulation. </description>
      <pubDate>Mon, 16 Sep 2024 10:56:06 +0200</pubDate>
      <lastBuildDate>Tue, 01 Oct 2024 17:07:42 +0200</lastBuildDate>
      <guid isPermaLink="true">http://popups.lib.uliege.be/1373-5411/index.php?id=3362</guid>
    </item>
  </channel>
</rss>