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VERSION:2.0
CALSCALE:GREGORIAN
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BEGIN:VEVENT
DTSTAMP:20260606T053718Z
DTSTART;TZID=America/Toronto:20241115T153000
DTEND;TZID=America/Toronto:20241115T170000
SUMMARY:Reasoning in Context
UID:20260611T042007Z-iCalPlugin-Grails@philevents-web-bd7db559-gt5qm
TZID:America/Toronto
LOCATION:1151 Richmond Street\, London\, Canada
DESCRIPTION:<p><em>Abstract.&nbsp\;</em>The concept of intelligence has been difficult to get one&rsquo\;s arms around. Surprisingly\, the same can be said also of a wide-scope conception of reasoning. This talk aims at shedding some light on certain aspects of reasoning for practical life. This will put us in a better position to make some comparisons between (some aspects of) human reasoning\, and what Large Language Models (LLMs) are doing - they look to be doing quite different things.&nbsp\; By articulating an account of the basic machinery required for reasoning\, we will be able to pose questions about whether this current generation of AI models is capable of moving past their&nbsp\;present obstacles to reasoning.</p>\n<p><br></p>\nSpeaker Bio: Mariam Thalos is the Fulbright Canada Research Chair in Digital Humanities at the University of Guelph.&nbsp\; A Distinguished Professor at the University of Tennessee since 2018\, she is a philosopher of science with a broad spectrum of interests in the physical\, decisional and human sciences.&nbsp\; Her forthcoming book with Routledge is entitled&nbsp\;<em>Reasoning in the Wild.</em>
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