• DocumentCode
    722877
  • Title

    Representing multi-national rules of engagement using ontologies and rules as constraints for courses of action

  • Author

    Santos, Leopoldo ; de la Fuente Martin, Mario ; Perez, Juan Jose ; Rodriguez-Solano, Carlos ; Sicilia, Miguel-Angel

  • Author_Institution
    DGAM (Gen. Directorate of Armament & Mater.), Madrid, Spain
  • fYear
    2015
  • fDate
    18-19 May 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The planning of courses of action for a task force component requires the evaluation of the available options and their respective impact to the operational goals. This includes considering the rules of engagement (ROE), i.e. the directives that define the circumstances and conditions in which force, or actions, which might be construed as provocative, may be applied. These rules vary across nations and are usually presented in manuals that require interpretation, requiring an often-complex decision process. In this paper, the problem of refining the decisions on a course of action based on the automated execution of rules of engagement is approached. An ontology representing the rules and a generic situation scenario is described, and the approach is evaluated by the encoding of the San Remo set of rules of engagement.
  • Keywords
    military computing; ontologies (artificial intelligence); planning; ROE; San Remo set of rules of engagement encoding; courses of action planning; decision refining; multinational rules of engagement; ontologies; task force component; Biological system modeling; Cognition; Computational modeling; Decision support systems; Force; Knowledge based systems; Ontologies; Decision Support System (DSS); Rules of engagement; SWRL; ontologies; rules;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Military Communications and Information Systems (ICMCIS), 2015 International Conference on
  • Conference_Location
    Cracow
  • Print_ISBN
    978-8-3934-8485-0
  • Type

    conf

  • DOI
    10.1109/ICMCIS.2015.7158710
  • Filename
    7158710