Rule-based structural design in C
AI Expert
Automating Knowledge Acquisition for Expert Systems
Automating Knowledge Acquisition for Expert Systems
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University research has established the theoretical basis for automating the knowledge acquisition process for certain classes of applications. Recent research has implemented this theory by constructing specialized inference engines suitable for a narrowly defined knowledge domain and automating the acquisition of knowledge within that domain by using a specialized knowledge acquisition kernel. A range of such “role-limiting” methods has been defined and implemented by researchers at Carnegie-Mellon University. One such method, implemented in the KNACK (Knowledge Acquisition Kernel) specialized expert system shell has been extended and used to generate a family of expert systems that transfer technology to a broad number of users. This technology transfer occurs in the domain of design practices which are used to harden U.S. weapon systems to the effects of nuclear weapons in order to render them survivable in such an environment. The methods used in this application should be applicable to technology transfer in many other technical fields.