Role-Based Bayesian Decision Framework for Autonomous Unmanned Systems

Article Properties
  • DOI (url)
    10.23919/jsee.2023.000114
  • Publication Date
    2023/12/01
  • Journal
    Journal of Systems Engineering and Electronics
  • Indian UGC (journal)
  • Refrences
    22
  • Weijian Pang Beijing Aeronautical Engineering Research Center,Beijing,China,100076
  • Xinyi Ma Air Forces Command College of PLA,Beijing,China,100097
  • Xueming Liang Beijing Aeronautical Engineering Research Center,Beijing,China,100076
  • Xiaogang Liu Beijing Aeronautical Engineering Research Center,Beijing,China,100076
  • Erwa Dong Beijing Aeronautical Engineering Research Center,Beijing,China,100076
Cite
Pang, Weijian, et al. “Role-Based Bayesian Decision Framework for Autonomous Unmanned Systems”. Journal of Systems Engineering and Electronics, vol. 34, no. 6, 2023, pp. 1397-08, https://doi.org/10.23919/jsee.2023.000114.
Pang, W., Ma, X., Liang, X., Liu, X., & Dong, E. (2023). Role-Based Bayesian Decision Framework for Autonomous Unmanned Systems. Journal of Systems Engineering and Electronics, 34(6), 1397-1408. https://doi.org/10.23919/jsee.2023.000114
Pang W, Ma X, Liang X, Liu X, Dong E. Role-Based Bayesian Decision Framework for Autonomous Unmanned Systems. Journal of Systems Engineering and Electronics. 2023;34(6):1397-408.
Journal Categories
Technology
Electrical engineering
Electronics
Nuclear engineering
Electric apparatus and materials
Electric circuits
Electric networks
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Engineering (General)
Civil engineering (General)
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Manufactures
Production management
Operations management
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Mechanical engineering and machinery
Refrences
Title Journal Journal Categories Citations Publication Date
Review on ontology-based task planning for unmanned systems 2021
PR-OWL decision: toward reusable ontology language for decision making under uncertainty 2016
Multi-entity Bayesian ntworks learning for hybrid variables in situation awareness 2013
Predictive situation awareness reference model using multi-entity Bayesian networks 2014
Knowledge graph modeling and intelligent reasoning techniques 2021