| Knowledge engineering is
the process of codifying an expert's knowledge in a form that is
accessible to a non-expert through an expert system. |
| The knowledge engineering field
encompasses many tools and techniques that are described in detail in the references:
Harmon and
Sawyer, 1990 is particularly recommended. Our introduction emphasizes
small-scale business applications for which we will take the
view that knowledge
engineering is a specialized form of information systems analysis and
design. In fact, the process has much in common with planning
effective instruction or many other planning activities. You will
see as this presentation proceeds that the key to developing small scale
expert systems is to begin with
the objectives of the consultation and then work backward to define user
inputs and rules that will let the system deliver appropriate advice.
Here are the topics we'll consider in this brief introduction: |
 |
Deciding whether or not a decision problem would make a suitable expert
system application. |
|
Choosing an expert whose expertise will be modeled in the knowledge base. |
|
Capturing the expert's expertise
and encoding this expertise as rules in a knowledge base. |