This dissertation introduces the Artificial Computer Expert (ACE), a system designed to assist non-computer skilled personnel utilise complex computer software through the use of artificial intelligence in the creation, selection and execution of programs. The system comprises three parts: 1. A graphical interface and conceptual framework which allows an expert to define the structure of his knowledge relating to his field. 2. A compiler to work through such a structure, forming partial solution paths which indicate the relationships that exist in the structure. 3. An interpreter to run through the solution process, joining together the partial solution paths and creating instances of data files as required in order to reach the overall goal. The ACE system is presented in the context of an industrial application, demonstrating how it may be used to form sawmill cutting patterns (which indicate how lumber is to be milled from a set of logs). This application belongs to a class of scheduling problems known as ‘cutting stock problems’, which for anything other than small or simple cases typically require the presence of an on-site scheduling expert. The application developed produces acceptable cutting patterns without the need for such a scheduling expert, using the same software tools currently used by mill management to plan their production. / Whole document restricted, but available by request, use the feedback form to request access.
| Identifer | oai:union.ndltd.org:ADTP/277889 |
| Date | January 1994 |
| Creators | Cammell, Geoffrey Martin |
| Publisher | ResearchSpace@Auckland |
| Source Sets | Australiasian Digital Theses Program |
| Language | English |
| Detected Language | English |
| Rights | Whole document restricted but available by request. Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated., http://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm, Copyright: The author |
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