A Unified Framework of Propositional Knowledge Base Revision and Update Based on State Transition Models
Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence. Pages 1568-1568.
Abstract
Belief revision and belief update are two of the most basic types of belief change operations. We need to select either revision or update when we accept new information into the current belief, however, such decision making has not been considered. In this paper, we propose a unified framework of revision and update based on state transition models that enable us to do such decision making. This framework provides a hybrid operation of revision and update, called acceptance.
Yasuo Kudo, and Tetsuya Murai. 2005. A Unified Framework of Propositional Knowledge Base Revision and Update Based on State Transition Models. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05. IJCAI, 1568–1568. https://ijcai.org/proceedings/2005/259
Kudo, Y., & Murai, T. (2005). A Unified Framework of Propositional Knowledge Base Revision and Update Based on State Transition Models. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05 (pp. 1568–1568). IJCAI. https://ijcai.org/proceedings/2005/259
@inproceedings{ijcai2005p259,
title = {A Unified Framework of Propositional Knowledge Base Revision and Update Based on State Transition Models},
author = {Kudo, Yasuo and Murai, Tetsuya},
booktitle = {Proceedings of the Nineteenth International Joint Conference on
Artificial Intelligence, {IJCAI-05}},
publisher = {International Joint Conferences on Artificial Intelligence},
pages = {1568--1568},
year = {2005},
url = {https://ijcai.org/proceedings/2005/259},
}
TY - CPAPER TI - A Unified Framework of Propositional Knowledge Base Revision and Update Based on State Transition Models AU - Kudo, Yasuo AU - Murai, Tetsuya T2 - Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05 PB - International Joint Conferences on Artificial Intelligence PY - 2005 SP - 1568 EP - 1568 UR - https://ijcai.org/proceedings/2005/259 ER -Copied
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