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    <title>semantics</title>
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    <language>fr</language>
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      <title>Phenomenal Computing Carrying a Weak Paradox as Indefinite Environments</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=2511</link>
      <description>The brain model is defined as a phenomenal computing consisting of explicit computing subsystem and its environment carrying the execution of computation. By introducing the modified infomorphism (Barwise &amp;amp; Seligman, 1997) as an operator between sub-systems, a model of phenomenal computing is expressed as a weak paradox. Such a model can explain genesis of module in a brain and duality of conscious explicit cognition and subconscious implicit perception in an abstract sense. </description>
      <pubDate>Thu, 29 Aug 2024 11:19:44 +0200</pubDate>
      <lastBuildDate>Mon, 07 Oct 2024 15:54:20 +0200</lastBuildDate>
      <guid isPermaLink="true">http://popups.lib.uliege.be/1373-5411/index.php?id=2511</guid>
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      <title>Fuzzy More-Equal-Less Logic and Closed-Loop Coding-Decoding Control Semantics in Bio-Systems and Nanoinfotechnology</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=3379</link>
      <description>The aim of this paper is to show that informational control in bio-systems is possible only through the use of closed-loop coding-decoding (CL-CD) and that CL-CD is a common feature of all organized systems that induces the birth of semantics. The analysis of the nervous systems research data shows that the coding and decoding procedure uses nota binary logic, but specific logic based on the &quot;more-equal-less&quot; (M-E-L) principle. It is likely that similar coding principle is used in molecular signaling structures (cells and hormonal subsystems of organisms) and that the implementation of this is a kind of nanoinfotechnology. Non-categorical M-E-L logic is similar to fuzzy (Zadeh) logic and may be used for explanation of neurobiological and neuropsychological facts through systemic (holistic) functional organization of the nervous system and of new neuroinformational and nanoinfotechnological ideas.  </description>
      <pubDate>Mon, 16 Sep 2024 11:47:56 +0200</pubDate>
      <lastBuildDate>Mon, 07 Oct 2024 12:45:09 +0200</lastBuildDate>
      <guid isPermaLink="true">http://popups.lib.uliege.be/1373-5411/index.php?id=3379</guid>
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      <title>Shooting Over or Under the Mark: Towards a Reliable and Flexible Anticipation in the Economy.</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=1613</link>
      <description>The real monetary economy is grounded upon monetary flow equilibration or the activity of actualizing monetary flow continuity at each economic agent except for the central bank. Every update of monetary flow continuity at each agent constantly causes monetary flow equilibration at the neighborhood agents. Every monetary flow equilibration as the activity of shooting the mark identified as monetary flow continuity turns out to be off the mark and constantly generate the similar activities in sequence. Monetary flow equilibration ceaselessly reverberating in the economy performs two functions. One is to seek an organization on its own, and the other is to perturb the ongoing organization. Monetary flow equilibration as the agency of seeking and perturbing its organizational so serves as a means of predicting its behavior. The likely organizational behavior could be the one that remains most robust against monetary flow equilibration as an agency of applying perturbations. </description>
      <pubDate>Mon, 15 Jul 2024 15:53:33 +0200</pubDate>
      <lastBuildDate>Mon, 07 Oct 2024 12:43:59 +0200</lastBuildDate>
      <guid isPermaLink="true">http://popups.lib.uliege.be/1373-5411/index.php?id=1613</guid>
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    <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>
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