Practical engineering of knowledge-based systems

Abstract The evolution of a software development life cycle (SDLC) by the data processing (DP) community was principally an attempt to ensure that software systems could be built which were accurate, reliable and maintainable. If knowledge-based systems (KBSs) are to become an established technology within the DP industry an SDLC for their development will also have to be evolved which can ensure that the standards expected in commercial and industrial software are met by future KBSs. This paper describes a practical approach to building KBSs and, in particular, how the development of hybrid systems, containing both conventional and knowledge-based components, can be managed effectively.

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