Title :
Induction support for KBDSS development: a proposed system design
Author :
Sandman, Thomas E.
Author_Institution :
Sch. of Bus. Adm., California State Univ., Sacramento, CA, USA
Abstract :
Over the past few years, designing and implementing DSSs that incorporate artificial intelligence/expert system technology (knowledge-based DSS, or KBDSS) have represented an important new research arena. Most efforts have resulted in frameworks for further research and/or the development of demonstrative applications that have been assessed with regard to their impacts on decision makers. Much has been learned in the past decade related to preferred KBDSS development methodologies, predictable pitfalls, desirable technological approaches. etc. The acquisition of knowledge for inclusion into a KBDSS, however, remains an under-addressed research issue. A design is proposed for a knowledge acquisition support tool that incorporates machine learning induction algorithms. The proposed design for an induction support system represents one approach for evolving an intelligent computer-based assistant for KBDSS builders and practitioners
Keywords :
artificial intelligence; decision support systems; expert systems; knowledge acquisition; knowledge based systems; learning systems; KBDSS development; artificial intelligence/expert system technology; computer-based assistant; knowledge acquisition; knowledge based decision support system; machine learning induction algorithms; system design; Algorithm design and analysis; Artificial intelligence; Decision support systems; Genetic algorithms; Intelligent systems; Knowledge acquisition; Learning systems; Machine learning; Neural networks; Spread spectrum communication;
Conference_Titel :
System Sciences, 1992. Proceedings of the Twenty-Fifth Hawaii International Conference on
Conference_Location :
Kauai, HI
Print_ISBN :
0-8186-2420-5
DOI :
10.1109/HICSS.1992.183460