Existing knowledge-based systems and development tools were never designed for real-time embedded computing environments since they have historically been used in non-real-time applications. Furthermore, fundamental design concepts for real-time performance have been virtually ignored in the design of languages, shells, and tools. Real-time knowledge-based systems pose unique engineering problems which must be identified in order to resolve these shortcomings. Our research has focused on developing a set of tools to support three real-time AI processing objectives: (1) real-time intelligent control of system resources; (2) predictable real-time knowledge-based system performance; and (3) demonstration of these technologies in an embedded environment running a real-time operating system. Reticular Systems, Inc. Has developed a set of software tools for building real-time intelligent systems. This toolset is called ARTESIA: Advanced Real-Time Embedded System Tools for Intelligent Architectures. These tools include a low level real-time executive for intelligent control called TaskMasterTM. TaskMasterTM works with the real-time operating system (RTOS) and the knowledge-based programs that run on the RTOS to ensure that the most critical application tasks are accomplished prior to their respective deadlines and that all tasks are completed in a timely manner. TaskMasterTM accomplishes intelligent control by utilizing high-level knowledge about the application program's goals and beliefs as well as the relative priority of the applications. This information is used to generate schedules.


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    Titel :

    Advanced real-time embedded system tools for intelligent architectures (ARTESIA)


    Beteiligte:
    Harrelson, M. (Autor:in) / Zaleta, D. (Autor:in) / Ballard, D. (Autor:in)


    Erscheinungsdatum :

    1997


    Format / Umfang :

    8 Seiten, 13 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Advanced Real-Time Embedded System Tools for Intelligent Architectures (ARTESIA)

    Harrelson, M. / Zaleta, D. / Ballard, D. et al. | British Library Conference Proceedings | 1997





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