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UID:calendar.23356.field_data.0@www.glad.uniroma1.it
DTSTAMP:20260405T091523Z
CREATED:20210517T111406Z
DESCRIPTION:Abstract:Computational argumentation is a well-established form
  of knowledge representation and reasoning with roots in non-monotonic for
 malisms. It is based on defining argumentation frameworks comprising sets 
 of arguments and dialectical relations between them (e.g. of attack and\, 
 in addition  or instead\, of support)\, as well as so-called semantics (e.
 g.  amounting to definitions of dialectically acceptable sets of arguments
  or of dialectical strength of  arguments) with accompanying computational
  machinery. In this talk I will show how computational argumentation\, com
 bined with a variety of mechanisms for mining argumentation frameworks\, c
 an be used for obtaining deep explanations for the outputs of a variety of
  machine-learning based classifiers (e.g. based on deep learning).  I will
  show how the resulting argumentative explanations can be 'deep'\, to fait
 hfully reflect the underlying models'  structure\, and can support human-d
 riven model debugging.Bio:Francesca Toni is Professor in Computational Log
 ic and Royal Academy of Engineering/JP Morgan Research Chair on Argumentat
 ion-based Interactive Explainable AI at the Department of Computing\, Impe
 rial College London\, UK\, and the founder and leader of the CLArg (Comput
 ational Logic and Argumentation) research group. Her research interests li
 e within the broad area of Knowledge Representation and Reasoning in AI an
 d Explainable AI\, and in particular include Argumentation\, Argument Mini
 ng\, Logic-Based Multi-Agent Systems\, Non-monotonic/Default/Defeasible Re
 asoning\, Machine Learning. She graduated\, summa cum laude\, in Computing
  at the University of Pisa\, Italy\, and received her PhD in Computing fro
 m Imperial College London. She has coordinated two EU projects\, received 
 funding from EPSRC and the EU\, and awarded a Senior Research Fellowship f
 rom The Royal Academy of Engineering and the Leverhulme Trust. She is curr
 ently Technical Director of the ROAD2H EPSRC-funded project (www.road2h.or
 g/) and co-Director for the Centres of Doctoral Training in Safe and Trust
 ed AI and in AI for Healthcare. She has been a EurAI fellow since 2019\, a
 nd has recenty been awarded an ERC Advanced grant on  Argumentation-based 
 Deep Interactive eXplanations (ADIX).She has published over 200 papers\, c
 o-chaired ICLP2015 (the 31st International Conference on Logic Programming
 ) and KR 2018 (the 16th Conference on Principles of Knowledge Representati
 on and Reasoning)\, is corner editor on Argumentation for the Journal of L
 ogic and Computation\, in the editorial board of the Argument and Computat
 ion journal and the AI journal\, and in the Board of Advisors for KR Inc. 
 and Theory and Practice of Logic Programming. Following the Zoom invite.Fa
 brizio Silvestri is inviting you to a scheduled Zoom meeting. Topic: Compu
 tational argumentation: from non-monotonic reasoning to eXplainable AI (XA
 I)Time: Jun 16\, 2021 04:00 PM Rome Join Zoom Meetinghttps://uniroma1.zoom
 .us/j/81531184977?pwd=NHVkR051UFNld2tKRU1mQ3hrSWJZZz09 Meeting ID: 815 311
 8 4977Passcode: 333272One tap mobile+13462487799\,\,81531184977# US (Houst
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DTSTART;TZID=Europe/Paris:20210616T160000
DTEND;TZID=Europe/Paris:20210616T160000
LAST-MODIFIED:20210518T070641Z
LOCATION:https://uniroma1.zoom.us/j/81531184977?pwd=NHVkR051UFNld2tKRU1mQ3h
 rSWJZZz09
SUMMARY:Computational argumentation: from non-monotonic reasoning to deep a
 rgumentative explanations - Francesca Toni
URL;TYPE=URI:http://www.glad.uniroma1.it/node/23356
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