Prof. Jeremy Goodman (University of Southern California) will give an online lecture titled "Induction and Lotteries" in the "Epistemology+" \;Lecture Series at Shanghai Jiao Tong University. Prof. Ru Ye (Wuhan University) will be the commentator. \;
\nThe lecture will be held on October 9th\, from 2:00 PM to 4:00 PM\, Beijing Time (7 AM\, London Time\; 2 AM\, New York Time). To attend the lecture over Zoom\, please use the following link: \;
\nZoom meeting info:
\nTime: 14:00-16:00 (UTC+8)\, 09 Oct 2023
\nLink: \; \;https://us05web.zoom.us/j/6622740726?pwd=qcavReaXLIET1mOCaRe7jhzfasHo2g.1
\nMeeting ID: 662 274 0726
\nPassword: zXp35R
\nTitle: Induction and Lotteries
\nAbstract: What you can know depends on who you are. In one sense this is trivial: different people have different evidence and what you can know depends in part on your evidence. I will argue for a more radical kind of epistemic asymmetry\, one that divides agents with the same relevant evidence. I begin with a new puzzle about induction\, and argue that it motivates positing such asymmetries. I then suggest that this solution extends to the lottery paradox: people are better positioned to know that they will lose the lottery than to know that a given person disconnected from them will lose. In general\, we know enough to run our lives\, but not enough to predict the improbable. I explain how this anti-skeptical strategy can be developed within a framework on which inductive knowledge is underwritten by a default entitlement to ignore especially abnormal possibilities.
ORGANIZER;CN=Changsheng Lai;CN=Chang Liu: METHOD:PUBLISH END:VEVENT END:VCALENDAR