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UID:20190906T2209Z-1567807740.3634-EO-14738-19@137.82.45.12
STATUS:CONFIRMED
DTSTAMP:20260416T125935Z
CREATED:20190906T185804Z
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DTSTART;TZID=America/Vancouver:20151023T150000
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SUMMARY: Oct 23 Colloquia – Marshall Abrams: “Probability in mechanistic ex
 planation”
DESCRIPTION: Marshall Abrams (University of Alabama) will be giving his tal
 k on Friday\, October 23\, 2015 in BUCH A202 at 3pm. TITLE: Probability in 
 mechanistic explanation ABSTRACT: The widespread use of mechanism concepts 
 in scientific research has been the focus of much work in recent philosophy
  of science. It’s become clear that the widely-cited account of […]
X-ALT-DESC;FMTTYPE=text/html: <p>Marshall Abrams (University of Alabama) wi
 ll be giving his talk on Friday\, October 23\, 2015 in BUCH A202 at 3pm.</p
 ><p>TITLE:<br />Probability in mechanistic explanation</p><p>ABSTRACT:<br /
 >The widespread use of mechanism concepts in scientific research has been t
 he focus of much work in recent philosophy of science. It's become clear th
 at the widely-cited account of mechanistic explanation offered by Machamer\
 , Darden\, and Craver\, and framed in terms of organized activities of enti
 ties within mechanisms\, should be amended to allow activities to occur pro
 babilistically. However\, there's been little discussion of the nature of t
 he probabilities involved. Interpretations of probability (e.g. Bayesian\, 
 frequentist\, propensity\, mechanistic probability) specify ways that condi
 tions in the world count as probabilities. Which interpretations of probabi
 lity are consistent with the roles of mechanisms in science? I argue that r
 elevant interpretations of probability must define what I call "causal prob
 abilities"\, in which manipulation of properties that realize probabilities
  would also manipulate frequencies of outcomes. In addition\, I argue that 
 some activities in mechanisms may involve only "imprecise probabilities" de
 fined by sets of probability distributions. The role of activities in mecha
 nisms allows us to simplify and broaden arguments by Terrence Fine and his 
 collaborators that the concept of imprecise probability found in some exten
 ded Bayesian theories can also extend objective probability concepts. My pr
 esentation won't take for granted familiarity with mathematical probability
  theory\, philosophy of probability\, or philosophical discussions of mecha
 nisms.</p><p> </p><p><em>This event free and open to the public\, faculty\,
  staff and students</em></p>
LOCATION:BUCH A202
GEO:49.269076;-123.254727
URL;VALUE=URI:https://philosophy.ubc.ca/events/event/oct-23-colloquia-marsh
 all-abrams-probability-in-mechanistic-explanation/
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