Approximate reasoning about actions in presence of sensing and incomplete information
ILPS '97 Proceedings of the 1997 international symposium on Logic programming
Artificial Intelligence - Special issue: artificial intelligence 40 years later
Reasoning about noisy sensors and effectors in the situation calculus
Artificial Intelligence
A Logic for Planning under Partial Observability
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Planning with Sensing for a Mobile Robot
ECP '97 Proceedings of the 4th European Conference on Planning: Recent Advances in AI Planning
What is planning in the presence of sensing?
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 2
Adding knowledge to the action description language A
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
On the Semantics of Deliberation in Indigolog—from Theory to Implementation
Annals of Mathematics and Artificial Intelligence
The concurrent, continuous FLUX
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
s slGolog: When conditional compositions of web services meet semantic links and causal laws
Web Intelligence and Agent Systems
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An effective method is presented for deriving state knowledge in the presence of sensing actions. It is shown how conditional plans can be inferred with the help of a generalized concept of plan skeletons as search heuristics, which allow the planner to introduce conditional branching points by need.