KNOWLEDGE ORGANIZATION: ITS ROLE IN REPRESENTATION, DECISION-MAKING AND EXPLANATION SCHEMES FOR EXPERT SYSTEMS

Authors
  1. Tsotsos, J.K.
Corporate Authors
Toronto Univ, Toronto ONT (CAN) Dept of Computer Science;Defence Research Establishment Atlantic, Dartmouth NS (CAN)
Abstract
The so-called "first generation" expert systems were rule-based and offered a successful framework for building applications systems for certain kinds of tasks. Spatial, temporal and causal reasoning, the structuring of knowledge, and the explanation of knowledge in terms of knowledge abstractions and comparisons are among the topics of research for "second generation" expert systems. It is proposed that one of the keys for such research is knowledge organization. Knowledge organization determines control structure design, explanation and evaluation capabilities for the resultant knowledge base, and has strong influence on system performance. The control structure discussed can handle a variety of queries involving different forms of knowledge abstractions and comparisons. TRUNCATED
Report Number
LCM-TR83-3 — Contractor Report, Laboratory for Computational Medicine Report
Date of publication
15 Dec 1983
Number of Pages
24
DSTKIM No
85-00626
CANDIS No
45457
Format(s):
Hardcopy;Originator's fiche received by DSIS

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