By Georgios I. Doukidis, Ray J. Paul
A suite of articles that are divided into 5 components: functional reports concerning the use of man-made intelligence in operational learn, software parts, creation making plans and scheduling, simulation and technique.
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Extra resources for Artificial Intelligence in Operational Research
35 Artificial Intelligence in Operational Research Appendix 4. Once any logical problems have been sorted out, it is suggested that participants improve the appearance of their dialogue sequence by adding suitable text prompts and allowed values into the frames for the various objects they have created . This should enable all participants to create a very simple system in little over an hour, getting a considerable sense of achievement and satisfaction. TABLE 3. decision 1. competitive bid 2. custorner Intermediates: location contract numeric > 0 1.
In explaining the operation of the inference engine it is felt necessary to give a short explanation of forward chaining, and a rather more detailed explanation of backward chaining using part of the rule base in Appendix 1 as an illustration of how backward chaining works. The last part of the first teaching session is used to introduce the concept of an expert system shell and the chosen shell in particular, including the 'seek' rule and object frames. USE OF DEMONSTRAnON SYSTEM Choice of shell A difficult decision at the outset of designing the module was the choice of expert system shell for the demonstration system and practical sessions .
Two mod es of syste m ope ra tion are offered . In the inte ractive mod e the use r produces an init ial sche dule which is subse que ntly di agnosed and eithe r acce pte d or refined manually. Th e sche dule refin em e nts ar e ca rried out through a menu of method s th at are offered an d tha t ma y gen er ally include : • sub-batching of order s • aggregation of or ders • del aying job s • changing resource avail ability • job-splitting • changing job priority • segregating jobs to particular machines and tim es • changing or de r sta rt-times.
Artificial Intelligence in Operational Research by Georgios I. Doukidis, Ray J. Paul