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AAAI 1996

Toward Efficient Default Reasoning

Conference Paper Nonmonotonic Reasoning Artificial Intelligence

Abstract

Early work on default reasoning aimed to formalize the notion of quickly jumping to conclusions. Unfortunately, the resulting formalisms have proven more computationally complex than classical logics. This has dramatically limited the applicability of formal methods to real problems involving defaults. The complexity of consistency checking is one of the two problems that must be addressed to reduce the complexity of default reasoning. We propose to approximate consistency checking using a novel synthesis of limited contexts and fast incomplete checks, and argue that this combination overcomes the limitations of its component parts. Our approach trades correctness for speed, but we argue that the nature of default reasoning makes this trade relatively inexpensive and intuitively plausible. We present a prototype implementation of a default reasoner based on these ideas, and a preliminary empirical evaluation.

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Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
861721656941513733