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Kropf, Peter

Nom
Kropf, Peter
Affiliation principale
Fonction
Professeur.e ordinaire
Email
peter.kropf@unine.ch
Identifiants
https://libra.unine.ch/handle/123456789/221
_
0000-0001-6187-1510

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  • Publication
    Accès libre
    Coordinating Plans for Agents Performing AAW Hardkill and Softkill for Frigates
    (2001)
    Blodgett, Dale E.
    ;
    Paquet, Sébastien
    ;
    Plamondon, P.
    ;
    Chaib-draaa, Brahim
    ;
    Kropf, Peter 
    The coordination of anti-air warfare (AAW) hardkill (HK) and softkill (SK) weapon systems is an important aspect of command and control for the HALIFAX Class Frigate. This led to the development of a rapid prototyping environment, described here, which supports the investigation of methods to coordinate the plans produced by AAW HK and SK agents. The HK and SK planning agents are described. An overview of agent coordination methods is provided, with a focus on our initial approach to HK and SK coordination via a Central Coordinator. This approach was successfully implemented, and proved effective in mitigating interference between HK and SK actions, and improved the overall survivability of the Frigate. Finally, future directions of this research are presented.
  • Publication
    Accès libre
    A teamwork test-bed for a decision support system
    (2001)
    Chaib-draaa, Brahim
    ;
    Kropf, Peter 
    ;
    Paquet, Sébastien
    Resource management in complex socio-technical systems (as management and control (road, rail, sea, air), industrial engineering systems, transportation logistics, etc.) is a central and crucial process. The many diverse components involved together with various constraints such as real-time conditions make it impossible to devise exact optimal solutions. In this article, we present an approach to the resource management problem based on the multi-agent paradigm to be applied in the context of a shipboard command and control (C2) system. A general architecture for multi-agent planning and scheduling for achieving a common shared goal together with a real-time simulation environment as well as a simulation test-bed using the agent teamwork approach is described.