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 47
... LISP and PROLOG . We con- sider only LISP in this chapter , and do so only briefly at that . LISP has played a long and important role in the development of AI , and all of the initial expert sys- tems were written in LISP . LISP stands ...
... LISP and PROLOG . We con- sider only LISP in this chapter , and do so only briefly at that . LISP has played a long and important role in the development of AI , and all of the initial expert sys- tems were written in LISP . LISP stands ...
Page 48
... LISP keeps breaking problems into smaller programs and keeps recalling the same procedure to attempt to find a solution for the simplified arguments . Perhaps the most valuable feature of LISP is its ability to delay typing values . You ...
... LISP keeps breaking problems into smaller programs and keeps recalling the same procedure to attempt to find a solution for the simplified arguments . Perhaps the most valuable feature of LISP is its ability to delay typing values . You ...
Page 221
... LISP . LISP , like PROLOG , is a symbolic language with many features that make it a very good lan- guage to use when developing an expert system . Unfortunately , LISP does not run as well on com- mercial computers as the more ...
... LISP . LISP , like PROLOG , is a symbolic language with many features that make it a very good lan- guage to use when developing an expert system . Unfortunately , LISP does not run as well on com- mercial computers as the more ...
Contents
Overview | 12 |
3 | 47 |
Developing a List of Potential Applications | 58 |
Copyright | |
47 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
abstract actually allow analysis answer applications approach attribute backward chaining begin building called chapter companies complex consider consultation context context tree conventional cost create database decide decision define determine discuss effect effort engine example existing expert systems facts field Figure forward chaining frame goal handle heuristic hierarchy human inference initial instance interface involved knowledge base language LISP manager memory object Once performance person phase possible printer problem procedural prototype questions reasoning recommendation represent require rules screen selection shows simple slot solve specific speed steps stored story strategy structured systems development task techniques tion usually write