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BEGIN:VEVENT
DTSTAMP:20260416T135336Z
DTSTART;TZID=America/New_York:20250919T120000
DTEND;TZID=America/New_York:20250919T130000
SUMMARY:LTT: Aydin Mohseni - A Bayesian Reduction of Causation in Causal Models
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TZID:America/New_York
LOCATION: University of Pittsburgh\, 4200 Fifth Avenue\, Pittsburgh\, United States\, 15260
DESCRIPTION:<p>The Center for Philosophy of Science at the University of Pittsburgh invites you to join us for our Lunch Time Talk.&nbsp\;Attend in person at 1117 Cathedral of Learning or visit our live stream on YouTube at&nbsp\;https://www.youtube.com/channel/UCrRp47ZMXD7NXO3a9Gyh2sg</a>.</p>\n\n<p><strong>LTT:&nbsp\;&nbsp\;</strong><strong>Aydin Mohseni</strong>&nbsp\;</a></p>\n<p>Friday\, September 19th&nbsp\; @ 12:00 pm&nbsp\;-&nbsp\;1:30 pm&nbsp\;EST</p>\n\n<p><strong>Title:</strong>&nbsp\;<strong>A Bayesian Reduction of Causation in Causal Models</strong></p>\n<p><strong>Abstract:&nbsp\;</strong></p>\n<p>The ontological status and explanatory role of causation has been a perennial puzzle. In recent work\, Pearl and Mackenzie (2018) advance the thesis of a causal hierarchy (PCH) and posit the irreducibility of causal claims to purely probabilistic ones. Bareinboim et al. (2022) claim to have proven this irreducibility in the context of structural causal models (SCMs). We challenge this claim and demonstrate a general reduction of interventional propositions to probabilistic ones within the same context of SCMs and proffer a de Finetti-style representation theorem for causal learning and reasoning.</p>\n<p>This talk will be available online:</p>\n<p>Zoom:&nbsp\;https://pitt.zoom.us/j/98127984221</a><br>YouTube:&nbsp\;https://www.youtube.com/channel/UCrRp47ZMXD7NXO3a9Gyh2sg</a></p>
ORGANIZER;CN=Edouard Machery:
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