Semantical considerations on nonmonotonic logic
Artificial Intelligence
Artificial Intelligence
Artificial Intelligence
On the relation between default and autoepistemic logic
Artificial Intelligence
Autoepistemic stable closures and contradiction resolution
Proceedings of the 2nd international workshop on Non-monotonic reasoning
Proceedings of the 2nd international workshop on Non-monotonic reasoning
Proceedings of the 2nd international workshop on Non-monotonic reasoning
Reasoning with Incomplete Information
Reasoning with Incomplete Information
"Physical negation": integrating fault models into the general diagnostic engine
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
Computing stable models by using the ATMS
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
Computing the extensions of autoepistemic and default logics with a truth maintenance system
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 1
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In a recent paper, Konolige has introduced a new version of autoepistemic logic (AEL), which is based on a strong notion of groundedness. We show that it is well-suited for formalizing the concept of justified belief in a non-monotonic truth maintenance system (TMS). If we consider the justifications of a TMS as formulae of the form it LaΛ¬Lb⊃c it computes the set of non-modal atoms of a strongly grounded AEL-extension. It is shown that a variant of Dressler's encoding of nonmonotonic justifications in an assumption-based TMS is correct, and thus also inherits the AEL semantics We argue that more work is needed to come to a better understanding of backtracking routines and so-called nogood inferences, which are identified as sources of ungrounded conclusions. These results contribute to bridging the gap between theory and implementation in the field of nonmonotonic reasoning.