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    <title>Auteurs : Eric Schwarz</title>
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    <description>Publications of Auteurs Eric Schwarz</description>
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      <title>Anticipating Systems : An Application to the Possible Futures of Contemporary Society</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=2789</link>
      <description>The purpose of this paper is to use a general systemic model to describe complex self-organizing systems, to interpret the present state of the Western society and build some scenarios for its possible futures. ln the first part we present the general holistic metamodel or language to interpret complex partly autonomous systems, like social, living or cognitive systems. In the second part we present C. W. Graves typology for systems of value or coping systems which we will use in the application of our model. ln the last part we use our general metamodel to represent the life cycle of the rationalist paradigm from the Renaissance to the present time and generate some prospective scenarios with the help of Graves' typology. </description>
      <pubDate>Mon, 02 Sep 2024 16:47:10 +0200</pubDate>
      <lastBuildDate>Mon, 07 Oct 2024 13:52:11 +0200</lastBuildDate>
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      <title>Some Reflexions on Consciousness</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=2562</link>
      <description>Consciousness, in particular its nature, is a very elusive notion. It can be felt when one tries to understand the correlation between the objective material aspect of the brain and the subjective mental aspect of consciousness (the explanatory gap). In this contribution we propose an interpretation based on a general metamodel we have developed for complex autonomous systems. We show that self-knowledge (i.e. consciousness) depends on the degree of self-reference of the system. </description>
      <pubDate>Thu, 29 Aug 2024 14:08:24 +0200</pubDate>
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      <title>The evolution of anticipation : a systemic holistic view</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=394</link>
      <description>The main challenge of systems science is to elaborate a general transdisciplinary langage pertinent not only to describe and interpret systems of different natures physical, chemical, biological, social, cognitive, but also to understand their dynamics over a wide time scale, from their emergence, to their evolution toward complexity and autonomy. In this paper we present the main features of a metamodel that has been proposed recently in this context. We then use this language to investigate the evolution of the anticipative behavior of natural systems through the different stages of self-organization, self-regulation, autopoiesis, self-reference and autonomy. We show that their anticipative behavior begins with the first modes of circular causality, reaches a sort of apex with the anticipation capability of cognitive systems (like human beings), and then becomes irrelevant and meaningless with strictly autonomous systems which are identical with both their physical structure and their virtual possibles. </description>
      <pubDate>Wed, 26 Jun 2024 15:44:15 +0200</pubDate>
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      <title>Will Computers Ever Think ? On the Difference of Nature Between Machines and Living Organism</title>
      <link>http://popups.lib.uliege.be/1373-5411/index.php?id=291</link>
      <description>One should not forget that the initial aim of the first builders of computers and scientists in Artificial Intelligence was to make &quot;thinking machines&quot;. Today, people are more cautious about the nature of intelligence and the difference between natural intelligence and artificial intelligence. Numerous definitions of thinking and of intelligence have been proposed. Nowadays, even consciousness, which has been taboo for a long time in the AI circles, begins to be discussed. In this paper, after a brief introduction about the different paradigms of the cognitive sciences in the last 50 years, we present the main features of a systemic holistic metamodel that has been proposed recently to interpret complex self-organizing systems evolving toward autonomy, like those found in biology, in the social and cognitive sciences. We then use this graphical language to show the specificity of living systems which is autopoiesis or selfproduction ; we then propose an interpretation of consciousness which is related to self-reference. Using these concepts, we then comment on the question raised in the title. </description>
      <pubDate>Thu, 20 Jun 2024 16:59:57 +0200</pubDate>
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