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Verification and validation of AI simulation systems

  • Fei Liu*
  • , Ming Yang
  • *Corresponding author for this work
  • Harbin Institute of Technology

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

Abstract

The application of Artificial Intelligence (AI) simulation systems continues to expand. Correspondingly, verification and validation (V&V) of AI simulation systems are gaining importance. However, this introduces new difficulties because of the dynamic nature of these AI models and the need to use experts to judge their validity. As a result, V&V techniques of AI simulation systems are deeply discussed, and validation criteria for AI simulation systems are presented.

Original languageEnglish
Title of host publicationProceedings of 2004 International Conference on Machine Learning and Cybernetics
Pages3100-3105
Number of pages6
StatePublished - 2004
EventProceedings of 2004 International Conference on Machine Learning and Cybernetics - Shanghai, China
Duration: 26 Aug 200429 Aug 2004

Publication series

NameProceedings of 2004 International Conference on Machine Learning and Cybernetics
Volume5

Conference

ConferenceProceedings of 2004 International Conference on Machine Learning and Cybernetics
Country/TerritoryChina
CityShanghai
Period26/08/0429/08/04

Keywords

  • Artificial Intelligence (AI)
  • Simulation systems
  • Validation criteria
  • Verification and validation (V&V)

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