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
... goals . A goal is an attribute for which the system is trying to establish a value . The backward chaining inference engine proceeds to examine the knowledge base to see if it can establish a value for the goal attribute . Let's ...
... goals . A goal is an attribute for which the system is trying to establish a value . The backward chaining inference engine proceeds to examine the knowledge base to see if it can establish a value for the goal attribute . Let's ...
Page 36
... goal . The knowledge base here is too simple to provide a very interesting illustration of this , but consider that if you started a consultation and set the goal as Speed , the inference engine would still search the three rules , find ...
... goal . The knowledge base here is too simple to provide a very interesting illustration of this , but consider that if you started a consultation and set the goal as Speed , the inference engine would still search the three rules , find ...
Page 159
... Goal Statement We have already mentioned that every backward chaining system needs to have a goal - attribute to get started . In the VCR matrix , we listed the goal- = attribute , RECOMMENDATION , on the right- hand side . Most small ...
... Goal Statement We have already mentioned that every backward chaining system needs to have a goal - attribute to get started . In the VCR matrix , we listed the goal- = attribute , RECOMMENDATION , on the right- hand side . Most small ...
Contents
Section | 1 |
What Are the Problems Standing in the Way of Wider Use? | 8 |
Induction Systems | 20 |
Copyright | |
12 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