Accession Number:

ADA232821

Title:

Knowledge Engineering Report: An Expert System for Selecting Reliability Index

Descriptive Note:

Interim rept. 1 Jul 1986-30 Apr 1988,

Corporate Author:

CALIFORNIA UNIV LOS ANGELES

Personal Author(s):

Report Date:

1988-04-01

Pagination or Media Count:

21.0

Abstract:

This report documents the knowledge encoded in Reliability Index Knowledge Base RIKB. The knowledge is presented in terms of the conceptualizations of the judgmental knowledge used in various level of decision -making during a consultation. We used a declarative knowledge representation mechanism to encode the knowledge necessary for selecting reliability index. In declarative representation of knowledge, the basic constructs of a knowledge base are production rules and attribute-value pairs. In RIKB, attributes represent properties, and characteristics of reliability indexes that affect the decision -making in selecting reliability indexes for a given Criterion- Referenced Test. The value specifies the specific nature of the attributes in a particular situation decision-making point. For example, INTENDED-USE of test score is an attribute, and the value could be decision, description, or program-evaluation. In the following description, the attributes will be indicated by upper case, and the value will be in lower case. An attribute value can either derived from rules, or directly get from user input. The form rule-i, where i is a number, indicates which rule is used to determine the attribute value. The form question-i, where i is also a number, indicates which question will be asked to get the information for the attribute. Refer to the knowledge base list for the exact wording of the rules, and questions.

Subject Categories:

  • Psychology
  • Computer Programming and Software
  • Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE