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Programming Knowledge Systems in PROLOG

  • Daniel L. Schmoldt
  • H. Michael Rauscher
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Abstract

After planning an application and developing the problem definition in chapter 4, acquiring the domain knowledge from sources in chapter 5, designing the knowledge model and human factors model in chapter 6, and selecting PROLOG as our major AI development tool, we need to pause before continuing to develop prototype systems in chapter 8 and 9 (Figure 8–1). In the present chapter, we discuss the strengths and weaknesses of PROLOG and provide an introduction of the main elements of the PROLOG language. If the reader has never programmed in any language before, we suggest this chapter be skipped because it will convey little useful information. On the other hand, readers who are programmers in other languages, should be able to understand the essence of PROLOG from this introduction. Those already familiar with PROLOG programming may regard this chapter as a useful review.

Keywords

Knowledge Base Semantic Network Inference Engine Predicate Logic Prolog Program 
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.

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Copyright information

© Chapman & Hall 1996

Authors and Affiliations

  • Daniel L. Schmoldt
  • H. Michael Rauscher

There are no affiliations available

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