Knowing That, Knowing What, and Public Communication: Public Announcement Logic with Kv Operators
Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence. Pages 1147-1153.
Abstract
In his seminal work [Plaza, 1989], Plaza proposed the public announcement logic (PAL), which is considered as the pilot logic in the field of dynamic epistemic logic. In the same paper, Plaza also introduced an interesting know-value operator Kv and listed a few valid formulas of PAL+Kv. However, it is unknown that whether these formulas, on top of the axioms for PAL, completely axiomatize PAL+Kv. In this paper, we first give a negative answer to this open problem. Moreover, we generalize the Kv operator and show that in the setting of PAL, replacing the Kv operator with its generalized version does not increase the expressive power of the resulting logic. This suggests that we can simply use the more flexible generalization instead of the original PAL+Kv. As the main result, we give a complete proof system for PAL plus the generalized operator based on a complete axiomatization of epistemic logic with the same operator in the single-agent setting.
@inproceedings{ijcai2013p173,
title = {Knowing That, Knowing What, and Public Communication: Public Announcement Logic with Kv Operators},
author = {Wang, Yanjing and Fan, Jie},
booktitle = {Proceedings of the Twenty-Third International Joint Conference on
Artificial Intelligence, {IJCAI-13}},
publisher = {AAAI Press / International Joint Conferences on Artificial Intelligence},
editor = {Francesca Rossi},
pages = {1147--1153},
year = {2013},
month = {8},
url = {https://ijcai.org/proceedings/2013/173},
}
TY - CPAPER TI - Knowing That, Knowing What, and Public Communication: Public Announcement Logic with Kv Operators AU - Wang, Yanjing AU - Fan, Jie T2 - Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence, IJCAI-13 PB - AAAI Press / International Joint Conferences on Artificial Intelligence PY - 2013 SP - 1147 EP - 1153 UR - https://ijcai.org/proceedings/2013/173 ER -Copied
Machine-readable versions of this paper, for tools and AI agents: