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BEGIN:VEVENT
UID:/NewsandEvents/Archives/2025/newsitem/15774/16
 -September-2025-Women-in-Logic-Online-Nina-Gierasi
 mczuk
DTSTAMP:20250904T160751
SUMMARY:Women in Logic Online, Nina Gierasimczuk
ATTENDEE;ROLE=Speaker:Nina Gierasimczuk
DTSTART;TZID=Europe/Amsterdam:20250916T173000
LOCATION:Online via Zoom
DESCRIPTION:Successful learning can be understood 
 as convergence to true beliefs. Can belief revisio
 n policies (as studied in Knowledge Representation
 ) generate sensible learning methods? The same can
  be asked about multi-agent belief revision, where
  a group of agents revise their collective conject
 ures by a combination of belief revision and belie
 f merge. Finally, how could computational models o
 f learning, such as neural networks, fit in that p
 icture? In my talk I will address those questions 
 using a mix of methods of (modal) logic and formal
  learning theory.  You can register for free at ht
 tps://tuwien.zoom.us/webinar/register/WN_21KUN_HyS
 Z--dE9Hwq9y1w.
X-ALT-DESC;FMTTYPE=text/html:\n  <p>Successful lea
 rning can be understood as convergence to true bel
 iefs. Can belief revision policies (as studied in 
 Knowledge Representation) generate sensible learni
 ng methods? The same can be asked about multi-agen
 t belief revision, where a group of agents revise 
 their collective conjectures by a combination of b
 elief revision and belief merge. Finally, how coul
 d computational models of learning, such as neural
  networks, fit in that picture? In my talk I will 
 address those questions using a mix of methods of 
 (modal) logic and formal learning theory.</p>\n  <
 p>You can register for free at <a href="https://tu
 wien.zoom.us/webinar/register/WN_21KUN_HySZ--dE9Hw
 q9y1w" target="_blank" rel="noopener">https://tuwi
 en.zoom.us/webinar/register/WN_21KUN_HySZ--dE9Hwq9
 y1w</a>.</p>\n
URL:https://www.vcla.at/2025/08/women-in-logic-onl
 ine-talk-with-nina-gierasimczuk/
CONTACT:VCLA at office at vcla.at
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