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X-WR-CALNAME:Competence-Aware Systems
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DTSTART:20070311T020000
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UID:2023-03-06-shlomo-zilberstein@cml.ics.uci.edu
DTSTAMP:20230306T000000Z
SEQUENCE:57690
DTSTART;TZID=America/Los_Angeles:20230306T130000
DTEND;TZID=America/Los_Angeles:20230306T140000
SUMMARY:[CML Seminar] Shlomo Zilberstein: Competence-Aware Systems
LOCATION:Donald Bren Hall 4011
DESCRIPTION:Shlomo Zilberstein\, Professor of Computer Science\, University
  of Massachusetts\, Amherst\n\nTitle: Competence-Aware Systems\n\nAbstract
 : Competence is the ability to do something well. Competence awareness is 
 the ability to represent and learn a model of self competence and use it t
 o decide how to best use the agent's own abilities as well as any availabl
 e human assistance. This capability is critical for the success and safety
  of autonomous systems that operate in the open world. In this talk\, I in
 troduce two types of competence-aware systems (CAS): Type I refers to a st
 and-alone system that can learn its own competence and fine-tune itself to
  the problem instance without human assistance\; Type II is a human-aware 
 system that uses a self-competence model to optimize the utilization of co
 stly human assistive actions. I describe recent results that demonstrate t
 he benefits of the two types of competence awareness\, including autonomou
 s vehicle decision making.\n\nhttps://cml.ics.uci.edu/seminars/2023-03-06-
 shlomo-zilberstein
X-ALT-DESC;FMTTYPE=text/html:<html><body><b>Shlomo Zilberstein</b>\, Profes
 sor of Computer Science\, University of Massachusetts\, Amherst<br><br><b>
 Title:</b> Competence-Aware Systems<br><br><b>Abstract:</b> Competence is 
 the ability to do something well. Competence awareness is the ability to r
 epresent and learn a model of self competence and use it to decide how to 
 best use the agent's own abilities as well as any available human assistan
 ce. This capability is critical for the success and safety of autonomous s
 ystems that operate in the open world. In this talk\, I introduce two type
 s of competence-aware systems (CAS): Type I refers to a stand-alone system
  that can learn its own competence and fine-tune itself to the problem ins
 tance without human assistance\; Type II is a human-aware system that uses
  a self-competence model to optimize the utilization of costly human assis
 tive actions. I describe recent results that demonstrate the benefits of t
 he two types of competence awareness\, including autonomous vehicle decisi
 on making.<br><br><a href="https://cml.ics.uci.edu/seminars/2023-03-06-shl
 omo-zilberstein">https://cml.ics.uci.edu/seminars/2023-03-06-shlomo-zilber
 stein</a></body></html>
URL:https://cml.ics.uci.edu/seminars/2023-03-06-shlomo-zilberstein
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