Abstract
A knowledge–based expert system (LIFTAN) for analysis of manual lifting tasks is described. The system, written in MacLISP and implemented on a DEC-10 mainframe computer, consists of three modules: a knowledge base, a general purpose inference engine, and a human interface with explanation capabilities. The system allows a non-expert in the field of manual lifting to utilize the relevant knowledge and apply it to analyze specific work situations. It can also be used as intelligent computer-assisted instruction for engineering students.
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