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AAAI 1982

The QBKG System: Generating Explanations From a Non-Discrete Knowledge Representation

Conference Paper Knowledge Representation Artificial Intelligence

Abstract

The QBKG system produces critical analyses of possible moves for a wide variety of backgammon positions, using a hierarchically structurcd, non-discrete form of knowledge representation. This report compares discrete and continuous representations and reasoning systems, addressing issues of competence, robustness, and explainability. The QBKG system is described and demonstrated.

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Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
666697950411018243