This paper develops a state-based regression method for planning domains with sensing operators and a representation of the knowledge of the planning agent. The language includes primitive actions, sensing actions, and conditional plans. We prove the soundness and completeness of the regression formulation with respect to the definition of progression and the semantics of a propositional modal logic of knowledge. It is our expectation that this work will serve as the foundation for the extension of recently successful work on state-based regression planning to include sensing and knowledge as well. © 2008 Springer Berlin Heidelberg.
CITATION STYLE
Scherl, R., Tran, C. S., & Baral, C. (2008). State-based regression with sensing and knowledge. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5351 LNAI, pp. 345–357). https://doi.org/10.1007/978-3-540-89197-0_33
Mendeley helps you to discover research relevant for your work.