On the Progression of Knowledge in the Situation Calculus
Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence. Pages 976-981.
Abstract
In a seminal paper, Lin and Reiter introduced the notion of progression for basic action theories in the situation calculus. Earlier works by Moore, Scherl and Levesque extended the situation calculus to account for knowledge. In this paper, we study progression of knowledge in the situation calculus. We first adapt the concept of bisimulation from modal logic and extend Lin and Reiter's notion of progression to accommodate knowledge. We show that for physical actions, progression of knowledge reduces to forgetting predicates in first-order modal logic. We identify a class of first-order modal formulas for which forgetting an atom is definable in first-order modal logic. This class of formulas goes beyond formulas without quantifying-in. We also identify a simple case where forgetting a predicate reduces to forgetting a finite number of atoms. Thus we are able to show that for local-effect physical actions, when the initial KB is a formula in this class, progression of knowledge is definable in first-order modal logic. Finally, we extend our results to the multi-agent case.
@inproceedings{ijcai2011p168,
title = {On the Progression of Knowledge in the Situation Calculus},
author = {Liu, Yongmei and Wen, Ximing},
booktitle = {Proceedings of the Twenty-Second International Joint Conference on
Artificial Intelligence, {IJCAI-11}},
publisher = {AAAI Press/International Joint Conferences on Artificial Intelligence},
editor = {Toby Walsh},
pages = {976--981},
year = {2011},
month = {7},
doi = {10.5591/978-1-57735-516-8/IJCAI11-168},
url = {https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-168},
}
TY - CPAPER TI - On the Progression of Knowledge in the Situation Calculus AU - Liu, Yongmei AU - Wen, Ximing T2 - Proceedings of the Twenty-Second International Joint Conference on Artificial Intelligence, IJCAI-11 PB - AAAI Press/International Joint Conferences on Artificial Intelligence PY - 2011 SP - 976 EP - 981 DO - 10.5591/978-1-57735-516-8/IJCAI11-168 UR - https://doi.org/10.5591/978-1-57735-516-8/IJCAI11-168 ER -Copied
Machine-readable versions of this paper, for tools and AI agents: