|Title:||Probabilistic logic for reasoning about actions in time||Journal:||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)||Volume:||11726 LNAI||First page:||385||Last page:||396||Conference:||15th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2019||Issue Date:||1-Jan-2019||Rank:||M33||ISBN:||978-3-030-29764-0||ISSN:||0302-9743||DOI:||10.1007/978-3-030-29765-7_32||Abstract:||
In this paper, we develop a probabilistic logic for reasoning about preconditions, postconditions and execution of actions in time. The language of our logic allows statements like “precondition of the action A will hold in the next moment” and uncertain information like “probability that the precondition of A will hold in the next moment is at least one half.” We axiomatize this logic, provide corresponding semantics built on branching-time temporal models, and prove that the axiomatization is sound and strongly complete.
|Keywords:||Action | Probabilistic logic | Temporal logic||Publisher:||Springer Link||Project:||Representations of logical structures and formal languages and their application in computing
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