Nonmonotonic logic and temporal projection
Artificial Intelligence
A skeptical theory of inheritance in nonmonotonic semantic networks
Artificial Intelligence
Solving the frame problem: a mathematical investigation of the common sense law of inertia
Solving the frame problem: a mathematical investigation of the common sense law of inertia
The Qualification Problem: A solution to the problem of anomalous models
Artificial Intelligence
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Embracing causality in specifying the indirect effects of actions
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Modular-ε: an elaboration tolerant approach to the ramification and qualification problems
LPNMR'05 Proceedings of the 8th international conference on Logic Programming and Nonmonotonic Reasoning
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
A Semantical Account of Progression in the Presence of Defaults
Conceptual Modeling: Foundations and Applications
Knowledge Qualification through Argumentation
LPNMR '09 Proceedings of the 10th International Conference on Logic Programming and Nonmonotonic Reasoning
A semantical account of progression in the presence of defaults
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Hi-index | 0.00 |
We propose a framework that brings together two major forms of default reasoning in Artificial Intelligence: applying default property classification rules in static domains, and default persistence of properties in temporal domains. Particular attention is paid to the central problem of qualification. We illustrate how previous semantics developed independently for the two separate forms of default reasoning naturally lead to the integration that we propose, and how this gives rise to domains where different types of knowledge interact and qualify each other while preserving elaboration tolerance.