A Guide to Expert SystemsExpert systems are sophisticated computer programs that manipulate knowledge to solve problems efficiently and effectively in a narrow problem area. Like real human experts, these systems use symbolic logic and heuristics--rules of thumb--to find solutions. Like real experts, they make mistakes but have the capacity to learn from their errors. This artificial expertise has some advantages over human expertise: it is permanent, consistent, easy to transfer and document, and cheaper. In sum, by linking the power of computers to the richness of human experience, expert systems enhance the value of expert knowledge by making it readily and widely accessible. |
Contents
SECTION | 1 |
What Good Are Expert Systems? | 12 |
How Do Expert Systems Differ from | 24 |
For? | 32 |
An Expert System | 49 |
SECTION | 61 |
The Nature of Expert System Tools | 80 |
Support? | 96 |
Pitfalls in Dealing with the Domain | 192 |
SECTION FIVE | 201 |
How Are Expert Systems Faring in | 212 |
Whats Next for Expert Systems? | 220 |
Sources of Additional Information about | 227 |
Conferences to Attend | 234 |
Catalog of Expert Systems | 244 |
Bibliography of Expert Systems | 300 |
Examples of Knowledge Engineering | 112 |
SECTION THREE | 125 |
Building an Expert System | 135 |
Choosing a Tool for Building Expert | 142 |
Acquiring Knowledge from | 152 |
An Example of the ExpertSystem | 162 |
SECTION FOUR | 177 |
Common Pitfalls in Planning an Expert | 186 |
Index for Expert System Tools | 336 |
Framebased Languages | 346 |
Objectoriented Languages | 352 |
Bibliography of Expert System Tools | 366 |
Companies Engaged in Expert System | 380 |
of Expert System Terms | 388 |
Copyright | |