Semantical considerations on nonmonotonic logic
Artificial Intelligence
A logical framework for default reasoning
Artificial Intelligence
What the lottery paradox tells us about default reasoning
Proceedings of the first international conference on Principles of knowledge representation and reasoning
Probabilistic semantics for nonmonotonic reasoning: a survey
Proceedings of the first international conference on Principles of knowledge representation and reasoning
Cumulative default logic: in defense of nonmonotonic inference rules
Artificial Intelligence
Alternative approaches to default logic
Artificial Intelligence
Probabilsitic semantics and defaults
UAI '88 Proceedings of the Fourth Annual Conference on Uncertainty in Artificial Intelligence
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 1
Statistical foundations for default reasoning
IJCAI'93 Proceedings of the 13th international joint conference on Artifical intelligence - Volume 1
A clash of intuitions: the current state of nonmonotonic multiple inheritance systems
IJCAI'87 Proceedings of the 10th international joint conference on Artificial intelligence - Volume 1
IJCAI'85 Proceedings of the 9th international joint conference on Artificial intelligence - Volume 1
Constrained and rational default logics
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
A maximum entropy approach to nonmonotonic reasoning
AAAI'90 Proceedings of the eighth National conference on Artificial intelligence - Volume 1
Uncertain inferences and uncertain conclusions
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Possible world partition sequences: a unifying framework for uncertain reasoning
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
The logic of risky knowledge, reprised
International Journal of Approximate Reasoning
| Hi-index | 0.00 |
Default logic encounters some conceptual difficulties in representing common sense reasoning tasks. We argue that we should not try to formulate modular default rules that are presumed to work in all or most circumstances. We need to take into account the importance of the context which is continuously evolving during the reasoning process. Sequential thresholding is a quantitative counterpart of default logic which makes explicit the role context plays in the construction of a non-monotonic extension. We present a semantic characterization of generic nonmonotonic reasoning, as well as the instantiations pertaining to default logic and sequential thresholding. This provides a link between the two mechanisms as well as a way to integrate the two that can be beneficial to both.