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 36
... backward chaining inference engine is an algorithm that will examine any set of rules in order to determine if a value can be established for a given goal . Control by forward chaining . Forward chaining is the reverse of backward chaining ...
... backward chaining inference engine is an algorithm that will examine any set of rules in order to determine if a value can be established for a given goal . Control by forward chaining . Forward chaining is the reverse of backward chaining ...
Page 80
... system , you would not want to have to ask the user for all the possible inputs the system could want under any possible circumstance . Instead , you would ... Forward and backward chaining . INITIAL DATA Use 80 IDENTIFYING OPPORTUNITIES.
... system , you would not want to have to ask the user for all the possible inputs the system could want under any possible circumstance . Instead , you would ... Forward and backward chaining . INITIAL DATA Use 80 IDENTIFYING OPPORTUNITIES.
Page 171
... system that uses a forward chaining inference strat- egy . Forward chaining is the reverse of backward chaining . Unlike backward chaining , which starts with the goal and backs through the rules ... Forward Chaining Systems Introduction.
... system that uses a forward chaining inference strat- egy . Forward chaining is the reverse of backward chaining . Unlike backward chaining , which starts with the goal and backs through the rules ... Forward Chaining Systems Introduction.
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