Nine cooperating rule-based systems, collectively called AUTOCREW which were designed to automate functions and decisions associated with a combat aircraft's subsystems, are discussed. The organization of tasks within each system is described; performance metrics were developed to evaluate the workload of each rule base and to assess the cooperation between the rule bases. Simulation and comparative workload results for two mission scenarios are given. The scenarios are inbound surface-to-air-missile attack on the aircraft and pilot incapacitation. The methodology used to develop the AUTOCREW knowledge bases is summarized. Issues involved in designing the navigation sensor selection expert in AUTOCREW's NAVIGATOR knowledge base are discussed in detail. The performance of seven navigation systems aiding a medium-accuracy inertial navigation system (INS) was investigated using Kalman filter covariance analyses. A navigation sensor management (NSM) expert system was formulated from covariance simulation data using the analysis of variance (ANOVA) method and the ID3 algorithm.<>


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Systematic methods for knowledge acquisition and expert system development (for combat aircraft)


    Contributors:


    Publication date :

    1991-06-01


    Size :

    967685 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Systematic methods for knowledge acquisition and expert system development

    Belkin, Brenda L. / Stengel, Robert F. | NTRS | 1991


    Systematic methods for knowledge acquisition and expert system development

    Belkin, Brenda L. / Stengel, Robert F. | NTRS | 1991



    Structured knowledge acquisition for combat aviation

    McGraw, K.L. / Seule, M.R. | Tema Archive | 1987