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On Self-assessment of Proficiency of Autonomous Systems

  • Stony Brook University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

In this paper we propose a probabilistic framework for proficiency self-assessment of autonomous systems. We define proficiency as a mathematical concept, i.e., as a metric that depends on a variety of factors. This concept allows for assessment of the degree of completion of a given task by a system. We provide the rationale behind the proposed concept and its forms for various settings. Further, we present motivating examples with details of evaluation of the proficiency. We anticipate that our definition of proficiency is a step forward toward achieving self-awareness of autonomous systems.

Original languageEnglish
Title of host publication2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5072-5076
Number of pages5
ISBN (Electronic)9781479981311
DOIs
StatePublished - May 2019
Event44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Brighton, United Kingdom
Duration: May 12 2019May 17 2019

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume2019-May

Conference

Conference44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019
Country/TerritoryUnited Kingdom
CityBrighton
Period05/12/1905/17/19

Keywords

  • Self-assessment
  • autonomous systems
  • proficiency
  • sequential inference

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