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IJCAI 2013

Computing Stable Models for Nonmonotonic Existential Rules

Conference Paper Knowledge Representation, Reasoning, and Logic Artificial Intelligence

Abstract

In this work, we consider function-free existential rules extended with nonmonotonic negation under a stable model semantics. We present new acyclicity and stratification conditions that identify a large class of rule sets having finite, unique stable models, and we show how the addition of constraints on the input facts can further extend this class. Checking these conditions is computationally feasible, and we provide tight complexity bounds. Finally, we demonstrate how these new methods allowed us to solve relevant reasoning problems over a realworld knowledge base from biochemistry using an off-the-shelf answer set programming engine.

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Context

Venue
International Joint Conference on Artificial Intelligence
Archive span
1969-2025
Indexed papers
14525
Paper id
30418299566777614
v2026.09.13