How Hard to Tell? Complexity of Belief Manipulation Through Propositional Announcements
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Main Track. Pages 1866-1872.
https://doi.org/10.24963/ijcai.2021/257
Keywords
- Knowledge Representation and Reasoning: Belief Change
- Knowledge Representation and Reasoning: Reasoning about Knowledge and Belief
Abstract
Consider a set of agents with initial beliefs and a formal operator for incorporating new information. Now suppose that, for each agent, we have a formula that we would like them to believe. Does there exist a single announcement that will lead all agents to believe the corresponding formula? This paper studies the problem of the existence of such an announcement in the context of model-preference definable revision operators. First, we provide two characterisation theorems for the existence of announcements: one in the general case, the other for total partial orderings. Second, we exploit the characterisation theorems to provide upper bound complexity results. Finally, we also provide matching optimal lower bounds for the Dalal and Ginsberg operators.
@inproceedings{ijcai2021p257,
title = {How Hard to Tell? Complexity of Belief Manipulation Through Propositional Announcements},
author = {Eiter, Thomas and Hunter, Aaron and Schwarzentruber, François},
booktitle = {Proceedings of the Thirtieth International Joint Conference on
Artificial Intelligence, {IJCAI-21}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Prof. Zhi-Hua Zhou},
pages = {1866--1872},
year = {2021},
month = {8},
note = {Main Track},
doi = {10.24963/ijcai.2021/257},
url = {https://doi.org/10.24963/ijcai.2021/257},
}
TY - CPAPER TI - How Hard to Tell? Complexity of Belief Manipulation Through Propositional Announcements AU - Eiter, Thomas AU - Hunter, Aaron AU - Schwarzentruber, François T2 - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2021 SP - 1866 EP - 1872 DO - 10.24963/ijcai.2021/257 UR - https://doi.org/10.24963/ijcai.2021/257 ER -Copied
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