Creating expert systems for business and industry
A 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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Section One Basic Concepts
Basic Expert Systems Techniques
Section Two Identifying Opportunities
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abstract analysis analyze applications approach attribute backward chaining backward chaining system class-objects companies complex consider context tree conventional language conventional program create DASD Advisor database dataflow dBASE decision tree define develop an expert domain effort example expert sys expert systems building expert systems development expert systems techniques Figure forward chaining system frame goal hardware heuristic hierarchy human expert hybrid inference engine initial input instance involved job aids knowl knowledge acquisition knowledge base knowledge engineer Knowledge Representation LISP LISP machines mainframe manager memory mid-size MS-DOS MYCIN object object-oriented object-oriented programming OPS5 overall overview perform phase Phone printer problem procedural procedural model prototype questions recom recommendation Rete algorithm screen simply slot small expert systems solve specific steps strategy systems building tools task tion velopment worksheet XCON