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UID:0-510@aerospace.technion.ac.il

DTSTART;TZID=Asia/Jerusalem:20150902T163000

DTEND;TZID=Asia/Jerusalem:20150902T173000

DTSTAMP:20230603T192601Z

URL:https://aerospace.technion.ac.il/events/cooperative-estimation-via-alt
 ruism/

SUMMARY:Cooperative Estimation Via Altruism
DESCRIPTION:Lecturer:Nitai Stein\n Faculty:Department of Aerospace Engineer
 ing\n Institute:Technion – Israel Institute of Technology\n Location:Cla
 ssroom 165\, ground floor\, Library\, Aerospace Eng.\n Zoom: \n Abstract: 
 \n Details: \n Cooperative estimation has been an active area of research 
 in recent time. The idea underlying most state-of-the-art methods is to sh
 are information\, obtained separately by subsystems comprising the system\
 , and to use that information in an adequately designed (centralized or di
 stributed) estimation algorithm that generates a common (global) estimate.
  The estimation performance that can thus be attained should be superior t
 o that of each local estimator.\nWhen the subsystems have only one global 
 mission that needs to be accomplished (as opposed to local missions of the
  subsystems)\, one might think of better ways to exploit the existence of 
 mutually cooperating subsystems. As the performance of each subsystem is n
 ot an issue\, but\, rather\, the accomplishment of the global mission\, ea
 ch subsystem can relinquish the optimality of its own estimator\, such tha
 t the global performance of the entire system would be optimized – at th
 e cost of attaining sub-optimal performance by the local estimators. We ca
 ll this cooperation strategy Altruism\, taking after the well-known phenom
 enon exhibited in nature. Altruism has been used in sociology and in game 
 theory to describe strategies that individuals would use in order to impro
 ve the chances of their species to strive.\nIn this seminar we will presen
 t two approaches for altruistic cooperation in the problem of parameter es
 timation by two cooperative estimators. In the first approach\, termed het
 erarchical cooperative estimation\, both estimators behave altruistically\
 , sacrificing their own estimation performance for the purpose of improvin
 g global estimation performance. In the second approach\, termed hierarchi
 cal cooperative estimation\, one subsystem behaves egoistically (optimizin
 g its own estimation performance) while the other behaves altruistically. 
 When the underlying distribution is Gaussian\, explicit results are obtain
 ed and demonstrated using a numerical example.
CATEGORIES:Seminars
LOCATION:Classroom 165\, ground floor\, Library\, Aerospace Eng.

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