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UID:195@math.technion.ac.il

DTSTART;TZID=Asia/Jerusalem:20240228T130000

DTEND;TZID=Asia/Jerusalem:20240228T140000

DTSTAMP:20250109T093657Z

URL:https://math.technion.ac.il/events/network-formation-for-learning-grad
 uation-seminar/

SUMMARY:Network Formation for Learning - Graduation Seminar
DESCRIPTION:Lecturer:Lior Sasson\n Location:Room 527 Bloomfield Building\, 
 הפקולטה למדעי הנתונים וההחלטות\n We study a net
 work formation interaction in which the formatted network serves the agent
 s to form beliefs about an unknown state via the DeGroot naive learning pr
 ocess. Consequently\, the value of the network captures the ability of the
  network to aggregate information. We focus on the notion of \\textit{stab
 le networks} in which agents do not want to create or erase any of their l
 inks.\nWe precisely characterize the costs for which a stable network exis
 ts. Whenever a stable network exists\, either the cycle network\, the line
  network\, or the empty network is stable. We further provide structural p
 roperties for every stable network: in every stable network\, the degree o
 f any two vertices differs by at most one. As a corollary we get that any
  stable network aggregates information well and a price of anarchy upper 
 bound is provided.\n\nAdvisor: Prof. Udi Yariv\n\n\n\n\n\n 
CATEGORIES:Graduation Seminars,Seminars
LOCATION:Room 527 Bloomfield Building\, הפקולטה למדעי הנתו
 נים וההחלטות

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DTSTART:20231029T010000

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