IDEAS home Printed from https://ideas.repec.org/a/wly/syseng/v23y2020i5p519-533.html
   My bibliography  Save this article

Systems modeling language extension to support modeling of human‐agent teams

Author

Listed:
  • Michael E. Miller
  • John M. McGuirl
  • Michael F. Schneider
  • Thomas C. Ford

Abstract

We propose a Systems Modeling Language (SysML) extension, referred to as the “Human‐Agent Teaming Modeling Language,” and a companion method, referred to as “Human‐Agent Teaming Design Method,” which are useful in the design and specification of teams comprised of humans and artificial agents which interact within a system. The language and method support the analysis and design of human‐agent teams through a three‐step process. First, an existing system is analyzed to understand the goals to be achieved as well as the roles and the responsibilities necessary to support goal attainment. Simultaneously, a team of humans and artificial agents are synthesized wherein each entity has capabilities useful in fulfilling the responsibilities. Second, responsibilities are allocated to agents by matching agent capabilities to responsibilities. Finally, the design is vetted through the application of an extension to an existing method referred to as Interdependence Analysis. This step includes the specification of teaming behaviors between humans and artificial agents to improve system robustness. We posit that the proposed language and method can be useful in specifying requirements for artificial agents, human knowledge, and procedure requirements, as well as components of critical interaction between multiple humans and artificial agents comprising a human‐agent team.

Suggested Citation

  • Michael E. Miller & John M. McGuirl & Michael F. Schneider & Thomas C. Ford, 2020. "Systems modeling language extension to support modeling of human‐agent teams," Systems Engineering, John Wiley & Sons, vol. 23(5), pages 519-533, September.
  • Handle: RePEc:wly:syseng:v:23:y:2020:i:5:p:519-533
    DOI: 10.1002/sys.21546
    as

    Download full text from publisher

    File URL: https://doi.org/10.1002/sys.21546
    Download Restriction: no

    File URL: https://libkey.io/10.1002/sys.21546?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:syseng:v:23:y:2020:i:5:p:519-533. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1002/(ISSN)1520-6858 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.