A qualitative physics based on confluences
Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Artificial Intelligence
Artificial Intelligence
Knowlege in action: logical foundations for specifying and implementing dynamical systems
Knowlege in action: logical foundations for specifying and implementing dynamical systems
Causes and Explanations: A Structural-Model Approach: Part 1: Causes
UAI '01 Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence
Artificial Intelligence - Special issue on logical formalizations and commonsense reasoning
Cumulative effects of concurrent actions on numeric-valued fluents
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Describing additive fluents in action language C+
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Planning with resources and concurrency a forward chaining approach
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 1
A causal theory of ramifications and qualifications
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Embracing causality in specifying the indirect effects of actions
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Journal of Computer and System Sciences
Hi-index | 0.00 |
We present a general method to formalize action domains with numeric-valued fluents whose values are incremented or decremented by executions of actions, and show how it can be applied to the action description language $\cal C+$ and to the concurrent situation calculus. This method can handle nonserializable concurrent actions, as well as ramifications on numeric-valued fluents, which are described in terms of some new causal structures, called contribution rules.