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SUMMARY:Causal networks in evidential reasoning - David Lagnado (Universit
 y College London)
DTSTART:20160929T103000Z
DTEND:20160929T111500Z
UID:TALK67705@talks.cam.ac.uk
CONTACT:INI IT
DESCRIPTION:How do people reason in the face of complex and contradictory 
 evidence? Focusing on investigative and legal contexts\, we present an idi
 om-based approach to evidential reasoning\, in which people combine and re
 use causal schemas to capture large bodies of interrelated evidence and hy
 potheses. We examine both the normative and descriptive status of this fra
 mework\, illustrating with real legal cases and empirical studies. We also
  argue that it is qualitative causal reasoning\, rather than fully Bayesia
 n computation\, that lies at the heart of human evidential reasoning.&nbsp
 \;
LOCATION:Seminar Room 1\, Newton Institute
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