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SUMMARY:The AI Ecosystem as a Reasoning Maze: How Collaborative Intelligen
 ce Accelerates Scientific Discovery - Yuri Yuri (Oxford) 
DTSTART:20260516T140000Z
DTEND:20260516T150000Z
UID:TALK245776@talks.cam.ac.uk
CONTACT:Pietro Lio
DESCRIPTION:Scientific discovery emerges not from isolated reasoning\, but
  from the intersection of diverse epistemic traditions. This talk proposes
  that the modern AI ecosystem\, a structured network of heterogeneous reas
 oning agents spanning approximate and rigorous inference\, constitutes a n
 ew form of collaborative intelligence for scientific inquiry. Drawing on S
 imon's conception of reasoning as adaptive search\, we argue that such eco
 systems do not merely accelerate known reasoning pathways\, but create con
 ditions under which genuinely novel representations may emerge. We examine
  how cross-disciplinary discovery is restructured when AI ecosystems are d
 esigned for interoperability\, and ask: when does collaborative AI reasoni
 ng achieve genuine epistemic synthesis rather than mere aggregation?
LOCATION:Computer Laboratory\, William Gates Building\, Room LT1
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