<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0">
  <channel>
    <title>associative memory</title>
    <link>http://popups.lib.uliege.be/1373-5411/index.php?id=4268</link>
    <description>Index terms</description>
    <language>fr</language>
    <ttl>0</ttl>
    <item>
      <title>Anticipating in Modelling of Social Systems Neuronets with Internal Structure and Multivaluedness</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=2777</link>
      <description>In proposed report we consider the principles of constructions of new models of society, their applications and further research problems. Structure of proposed models consists from elements and bonds between them. Our societv models have analogies with neural network models. To account for mentality we propose to introduce the intrinsic mental models of World in elements, which represent the individuals or decision-makers. Accounting for the anticipatory aspects of individuals leads to presumable multivaluedness in models. Connections to consciousness and quantum mechanics investigations are discussed  </description>
      <pubDate>Mon, 02 Sep 2024 15:51:28 +0200</pubDate>
      <lastBuildDate>Tue, 08 Oct 2024 14:14:26 +0200</lastBuildDate>
      <guid isPermaLink="true">http://popups.lib.uliege.be/1373-5411/index.php?id=2777</guid>
    </item>
  </channel>
</rss>