Advertisement

Other Knowledge System Components

  • Daniel L. Schmoldt
  • H. Michael Rauscher
Chapter
  • 65 Downloads

Abstract

In chapter 2, we introduced the important concepts of knowledge representation, reviewed inferencing methods grounded in symbolic logic, discussed methods to control the inference process, and introduced several knowledge system architectures. These issues make up the core of a knowledge-based system (Figure 3–1). To increase the utility of KBSs, we must also provide for explanations, interfaces both with the user and other computer software, and user-guided learning at run-time so that the domain knowledge available to the user can expand. These topics are discussed in this chapter. To round out our presentation of knowledge system components and techniques, we also review some ways to reasoning with uncertain knowledge. Following these topics, the remainder of the text examines how to apply those ideas to design, develop, and implement knowledge-based systems.

Keywords

Geographic Information System Fuzzy Number Possibility Theory Bayesian Belief Network Certainty Factor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Chapman & Hall 1996

Authors and Affiliations

  • Daniel L. Schmoldt
  • H. Michael Rauscher

There are no affiliations available

Personalised recommendations