Creating Expert Systems for Business and IndustryA practical guide to planning, building, and managing the development of an expert system. Provides comprehensive treatment of expert systems techniques, from basic concepts of knowledge acquisition to managing the expert system development effort. Contains three recent case studies that illustrate the methods used to analyze, design, develop, and manage the creation of an expert system. Provides illustrations, charts, diagrams, examples, and actual code from working systems. |
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Page 30
... inference engine proceeds to examine the knowledge base to see if it can establish a value for the goal attribute . Let's consider an example in detail to show how backward chaining works . We'll use a modified ver- sion of the printer ...
... inference engine proceeds to examine the knowledge base to see if it can establish a value for the goal attribute . Let's consider an example in detail to show how backward chaining works . We'll use a modified ver- sion of the printer ...
Page 36
... inference engine's search . Obviously , this flexibility would be impossible if the rules for a spe- cific consultation were linked together into a pre- determined sequence or algorithm . In effect , the backward chaining inference engine ...
... inference engine's search . Obviously , this flexibility would be impossible if the rules for a spe- cific consultation were linked together into a pre- determined sequence or algorithm . In effect , the backward chaining inference engine ...
Page 173
... inference engine . The OPS5 Inference Engine In OPS5 , the inference engine operates by repeating a three - step process . First , it looks at any facts that are in working memory . The inference engine finds all the rules whose If ...
... inference engine . The OPS5 Inference Engine In OPS5 , the inference engine operates by repeating a three - step process . First , it looks at any facts that are in working memory . The inference engine finds all the rules whose If ...
Contents
Section One Basic Concepts | 1 |
Section Two Identifying Opportunities | 49 |
Developing a List of Potential Applications | 58 |
Copyright | |
15 other sections not shown
Other editions - View all
Creating Expert Systems for Business and Industry Paul Harmon,Brian Sawyer No preview available - 1990 |
Common terms and phrases
analysis analyze applications approach attribute backward chaining class-objects COBOL compatibles MS-DOS complex consider context tree conventional language conventional program create DASD Advisor database dataflow dBASE decision tree develop an expert domain effort example expert sys expert systems building expert systems development Figure forward chaining goal GoldWorks graphic hardware heuristic hierarchy human expert hybrid IBM PC's IBM PC/AT inference engine initial input involved job aids knowl knowledge acquisition knowledge base knowledge engineer Knowledge Representation LISP LISP machines mainframe mid-size MS-DOS MYCIN object object-oriented object-oriented programming OPS5 overview PC's and compatibles perform Phone printer problem procedural project manager prototype phase questions recommendation rule-based screen Simple Rule slot solve specific speed steps stored strategy structured systems building tools task tion Unix user interface velopment workstations XCON