High Performance Expert Systems
نویسنده
چکیده
This paper reviews two divergent approaches to the development and application of expert systems in manufacturing and suggests that AI researchers and system designers can more effectively contribute to manufacturing solutions by pursuing high performance design rather than reinforcing traditional technocentric assumptions.
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تاریخ انتشار 2001