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    <title>cooperation</title>
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    <language>fr</language>
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      <title>Cooperation and Dialogical Modeling for Human Space Exploration of Mars</title>
      <link>https://popups.uliege.be/3041-539x/index.php?id=4647</link>
      <description>Designing an Human Space Autonomous system for Mars exploration, need a framework for understanding the relations between safe Trajectories and the requirements for propulsion systems design, in particular to prevent and reduce risks for the astronauts during the transit phases Earth-Mars-Earth. This paper proposes an approach for modelling Human-Organisation-Environment lead by the safety point of view. Our perspective is that the propulsion system needs to exhibit some aptitudes at each step of the mission. Its structure must be able to evolve in front of some unforeseen situations during the flight. Before and during the design stage, different paths of modeling are possible. Our paper proposes a new approach for modeling that allows to merge different hypothesis in link with a subjective approach for risks. Cooperation is required at the early stage of the project and the quality of the result is fundamentally inseparable from the problem formulation perceived from different points of view. </description>
      <pubDate>Mon, 14 Oct 2024 15:43:33 +0200</pubDate>
      <lastBuildDate>Mon, 14 Oct 2024 15:43:40 +0200</lastBuildDate>
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      <title>Cognitive and Semiotic Approach Lead by Risks Perception and Evaluation for Complex Project</title>
      <link>https://popups.uliege.be/3041-539x/index.php?id=3936</link>
      <description>This paper proposes an approach for a complex and innovative project calling international contribution from different communities of knowledge and expertise. Designing a Human Space Autonomous system for Mars exploration needs a cognitive and semiotic approach lead by risks perception and evaluation. The objective is to solve complex problems and facilitate communication and cooperation at the early stages of the project. The specialized languages, norms and representations tend to separate knowledges in different fields. This process is emphasized by the tendency of discursive thought to reduce the multiple to the unity. Designing an open, self-learning and reliable exploration system1 able to self-adapt in dangerous and unforeseen situations implies a collective networked intelligence led by a safe process that organizes interaction between the actors and the project finality. </description>
      <pubDate>Tue, 01 Oct 2024 15:43:21 +0200</pubDate>
      <lastBuildDate>Tue, 01 Oct 2024 15:43:34 +0200</lastBuildDate>
      <guid isPermaLink="true">https://popups.uliege.be/3041-539x/index.php?id=3936</guid>
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      <title>Mandate Game : Model of Anticipation Exchange and Decision-Making</title>
      <link>https://popups.uliege.be/3041-539x/index.php?id=2753</link>
      <description>What types of organization structure are optimal, if cooperative acts must be achieved ? For resolving this problem, we introduced a game modeling characteristics of organizations, inspired by well-known ecoromist K. J. Arrow in &quot;The Limits of Organization&quot;. In this game, each agent gives a mandate to an adviser about his right for decision-making. He tells the adviser his fragments of an anticipation about cooperative acts. The advisers decide act of the agents who gave the mandate to him. The agents get a reward that was calculated by a distance from an optimal act. We used genetic algorithm for dynamics of this game. The network structures of delivering mandates between agents have evolved through three phases : 1) disconnected phase 2) connected phase 3) hub agent phase. Finally, we briefly discussed more abstract model that relates to anticipatory system formulation. </description>
      <pubDate>Fri, 30 Aug 2024 15:25:11 +0200</pubDate>
      <lastBuildDate>Fri, 30 Aug 2024 15:25:20 +0200</lastBuildDate>
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      <title>Managing Interactions for Reliable Cooperation in a High Risk Technological Project (Human Space Autonomous Exploration System)</title>
      <link>https://popups.uliege.be/3041-539x/index.php?id=2643</link>
      <description>Designing a Human Space Autonomous system for the solar system exploration, needs a framework for understanding the processes that a complex project work entails, in particular to think about the interdependencies between individuals and the project and between human and technology. This paper proposes to conceive the Human Exploration system like a cognitive entity able of both a wide range of anticipatory actions and perceptions in different unknowns to forecast environment. Our perspective is that the exploration system needs to exhibit self-learning and reliable aptitudes for self-organisation in unforeseen situations. Our paper proposes to conceive a process and a life oriented matrix able to aggegate different culture and languages in order to face problems for communication and cooperation at the early stage of the project. </description>
      <pubDate>Thu, 29 Aug 2024 15:47:38 +0200</pubDate>
      <lastBuildDate>Thu, 29 Aug 2024 15:47:45 +0200</lastBuildDate>
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      <title>Properties Analysis of a Learning Method for Adaptive Systems</title>
      <link>https://popups.uliege.be/3041-539x/index.php?id=1132</link>
      <description>In order to build adaptive artificial systems, we suggest a thesis about the adequacy of a system relative to its relationships with the environment. We can tell it in this way: &quot;Any system having a cooperative internal medium is functionally adequate&quot;. In our learning method, a global function emerges from the system unless this function is not explicity dictated in each of its component. In fact, each component is always looking for maintaining a cooperative situation with others components in the system. The originality of our method is its facility of implementation because it's totally independent of the application field. Another property is that our method allows to suppress the classical component of control : the cooperation permits it implicitly. </description>
      <pubDate>Fri, 05 Jul 2024 14:19:11 +0200</pubDate>
      <lastBuildDate>Fri, 05 Jul 2024 14:19:21 +0200</lastBuildDate>
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