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    <title>Auteurs : Ephraim Nissan</title>
    <link>https://popups.uliege.be/3041-539x/index.php?id=1428</link>
    <description>Publications of Auteurs Ephraim Nissan</description>
    <language>fr</language>
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      <title>Future States for a Present-State Estimate, in the Contextual Perspective of In-Core Nuclear Fuel Management</title>
      <link>https://popups.uliege.be/3041-539x/index.php?id=1982</link>
      <description>We discuss AI-based and related approaches to problem-solving for an allocation design problem, with which fuel managers at nuclear power plants are faced on a peri-annual basis: how to position fuel-units in the reactor core (whose planar section is a symmetric grid), to achieve better. And usually better performance during the operation period up to the next EOC point (end of cycle), when over a new downtime period the allocation problem will have to be solved again. Forecasting in this domain is not accurate enough to enable the preparation of robust solutious before the reactor has actually been shut down, and the depletion degree of the fuel-units, let alone their possibly damaged status. can be ascertained. Various approaches exist. Westinghouse's LPOP is based on backcalculation from a target power-distribution. In contrast, the FUELCON expert system (Galperin and Nissan, 1988) applies hyperrecursion on a heuristic ruleset to generate alternative candidate solutions by the hundreds, these being then simulated for parameter prediction, and visualised as &quot;clouds&quot; of dots in the plane of power peaking and cycle length. Its successor, FUELGEN (Zhao, 1996 sqq), applies evolutionary computing, again by hyperrecursion. Arguably anticipation - and thus hyperincursion because of its being joint with hyperrecursion - apply to both FUELCON and FUELGEN: during the operation cycle (other than at downtime periods), state observability not obtaining for such variable which require direct inspection, current state estimates are based on those parameters which are observable, along with the forecast that was obtained by simulation at downtime, so that current state estimates partly depend on future states. </description>
      <pubDate>Fri, 19 Jul 2024 09:38:40 +0200</pubDate>
      <lastBuildDate>Thu, 10 Oct 2024 16:20:54 +0200</lastBuildDate>
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      <title>The COLUMBUS Model, Part II</title>
      <link>https://popups.uliege.be/3041-539x/index.php?id=1701</link>
      <description>We focus on a category of humour devices, at the meet of discourse analysis and of weak anticipation (in the form of a literary playful ascription of causality transgressing on the unavailability of the future). In Part I of the present paper I exemplified a goal-and-plan driven formal analysis of what makes humour tick, in a given literary text : Rosenzweig's century-old satire of life in America, whose name he mock-etymologizes by an apocriphal anecdote on Columbus. </description>
      <pubDate>Tue, 16 Jul 2024 11:49:12 +0200</pubDate>
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      <title>The COLUMBUS Model, Part I</title>
      <link>https://popups.uliege.be/3041-539x/index.php?id=1695</link>
      <description>Weak anticipation is involved (possibly in more than a way) in texts obeying genre-bound poetic conventions, in the generation of such texts, in their receptions, and possibly in events related in such texts, the events having been conceived not necessarily in a vein of realistic verisimilarity. This paper starts with a situation arising in the reception triggered by two ads contiguously rotating on a signboard ; then turns to retracing a schema of how to conceptualize the generation of a text by Rosenzweig, which achieves mock-explanation by ascribing foreknowledge to a character. That literary text combines both mock-etymology and narrative mock-explanation (a humourous aetiological tale), in the form of a learned treatise full of intertextual references to a genre-specific literary canon. An AI formal analysis is sketched for part of its opening page. </description>
      <pubDate>Tue, 16 Jul 2024 11:45:09 +0200</pubDate>
      <lastBuildDate>Tue, 16 Jul 2024 11:45:25 +0200</lastBuildDate>
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      <title>Anticipatory Narrative Construal</title>
      <link>https://popups.uliege.be/3041-539x/index.php?id=1422</link>
      <description>Across the spectrum of human communication, from situational common-sense to complex culture-bound literary expression, anticipation is ubiquitous. Implicit or explicit, it occurs in propositional attitudes such as an agent's belief, or his ascribing a belief. This affects the making sense of a narrative (or of narrativized experiences or situational patterns), as well as the handing down of a narrative, for example as a cultural practice (watching a film or reading a novel, and the expectations involved according to the genre), or in literary hermeneutics, when the narrative in the text is reimagined and retold. Anticipation in beliefs may be ascribed sincerely or humorously ; in turn, making sense of a humorous text involves the ascription ofbeliefs and attitudes, e.g., to make sense of a pose which (mockingly or conventionally) interprets an event or a situation by invoking anticipation. This paper discusses an array ofcontexts where this takes place. </description>
      <pubDate>Fri, 12 Jul 2024 14:00:35 +0200</pubDate>
      <lastBuildDate>Fri, 12 Jul 2024 14:00:44 +0200</lastBuildDate>
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