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
Paul Harmon, Brian Sawyer. Control by backward chaining . Backward chain- ing is by far the most common strategy used in the simple rule systems . A backward chaining system starts with one or more goals . A goal is an attribute for ...
Paul Harmon, Brian Sawyer. Control by backward chaining . Backward chain- ing is by far the most common strategy used in the simple rule systems . A backward chaining system starts with one or more goals . A goal is an attribute for ...
Page 80
... backward chain- ing . At this point , we simply want to review some of the implications of the three approaches . Induction depends on a matrix of examples for its input ... backward chaining . INITIAL DATA Use 80 IDENTIFYING OPPORTUNITIES.
... backward chain- ing . At this point , we simply want to review some of the implications of the three approaches . Induction depends on a matrix of examples for its input ... backward chaining . INITIAL DATA Use 80 IDENTIFYING OPPORTUNITIES.
Page 171
... backward chaining. 9 . INTRODUCTION In this chapter , we consider how to build an expert system that uses a forward chaining inference strat- egy . Forward chaining is the reverse of backward chaining . Unlike backward chaining , which ...
... backward chaining. 9 . INTRODUCTION In this chapter , we consider how to build an expert system that uses a forward chaining inference strat- egy . Forward chaining is the reverse of backward chaining . Unlike backward chaining , which ...
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