Other Knowledge System Components

  • Daniel L. Schmoldt
  • H. Michael Rauscher


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.


Geographic Information System Fuzzy Number Possibility Theory Bayesian Belief Network Certainty Factor 
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Copyright information

© Chapman & Hall 1996

Authors and Affiliations

  • Daniel L. Schmoldt
  • H. Michael Rauscher

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