The construction of Intelligent Computer Aided Training (ICAT) systems is critically dependent on the ability to define and encode knowledge. This knowledge engineering effort can be broadly divided into two categories: domain knowledge and expert or task knowledge. Domain knowledge refers to the physical environment or system with which the expert interacts. Expert knowledge consists of the set of procedures and heuristics employed by the expert in performing their task. Both these areas are a significant bottleneck in the acquisition of knowledge for ICAT systems. This paper presents a research project in the area of autonomous knowledge acquisition using a passive observation concept. The system observes an expert and then generalizes the observations into production rules representing the domain expert's knowledge.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen


    Exportieren, teilen und zitieren



    Titel :

    Autonomously acquiring declarative and procedural knowledge for ICAT systems


    Beteiligte:


    Erscheinungsdatum :

    07.05.1993


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Keine Angabe


    Sprache :

    Englisch




    SIAM / ACMA / iCAT

    Springer Verlag | 2013


    A Comparison of Declarative and Hybrid Declarative-Procedural Models for Rover Operations

    Knight, Russell / Rabideau, Gregg / Lenda, Matthew et al. | NTRS | 2012


    icat-ip versus TFA.jpg

    Singha Hazari, Arijit / Chandra, Shubhadeep / Song, Qian et al. | DataCite | 2024


    Integrated Cockpit / Avionics for Transports (ICAT)

    Miles, W. L. | British Library Conference Proceedings | 1995


    The highlights of ICAT 98

    British Library Online Contents | 1998