Future applications of unmanned aerial vehicles (UAVs) especially in military missions require the operation of UAVs with a high level of autonomy. Autonomous UAVs could be developed using agent technologies and therefore this paper investigates such an approach from an industrial perspective. Taking into account time, budget and available knowledge on the industrial side and need for UAV operators to understand the behavior of the autonomous system this paper proposes the application of cognitive agents and a design procedure that supports the transition of the pure operational requirements and functional specification into a cognitive agent system, called Operational driven development approach for Cognitive Systems (OpCog). In this paper, the focus is on the industrial aspects of the design of an MMS (mission management system) for autonomous UAVs using agent technologies. For that purpose, the authors first describe a suitable application example of a SEAD mission (Suppression of Enemy Air Defence) that should be carried out by autonomous UAVs. Hereby, the operational requirements from the UAV operator's point of view have to be derived. These requirements then lead to the identification of the core functionalities of the MMS. This MMS then should be implemented using a cognitive agent architecture, and hence a suitable solution from the industrial perspective had to be identified. Here, the authors decided to apply the BDI paradigm (belief-desire-intention) and to implement the core functionalities with the help of the COGNET architecture. The experiences with that approach then led to the definition of a development process called OpCog: an operational driven development approach for cognitve agent systems.


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    Title :

    OpCog: An industrial development approach for cognitive agent systems in military UAV applications


    Additional title:

    OpCog: ein industrielles Emtwicklungsverfahren für kognitive Agentensysteme in militärischen UAV-Anwendungen


    Contributors:


    Publication date :

    2009


    Size :

    4 Seiten, 2 Bilder, 6 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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