Iterated Belief Change: A Transition System Approach
Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence. Pages 460-464.
Abstract
We use a transition system approach to reason about the evolution of an agent’s beliefs as actions are executed. Some actions cause an agent to perform belief revision and some actions cause an agent to perform belief update, but the interaction between revision and update can be nonelementary. We present a set of basic postulates describing the interaction of revision and update, and we introduce a new belief evolution operator that gives a plausible interpretation to alternating sequences of revisions and updates.
Aaron Hunter, and James P. Delgrande. 2005. Iterated Belief Change: A Transition System Approach. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05. IJCAI, 460–464. https://ijcai.org/proceedings/2005/49
Hunter, A., & Delgrande, J. P. (2005). Iterated Belief Change: A Transition System Approach. In Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05 (pp. 460–464). IJCAI. https://ijcai.org/proceedings/2005/49
@inproceedings{ijcai2005p49,
title = {Iterated Belief Change: A Transition System Approach},
author = {Hunter, Aaron and Delgrande, James P.},
booktitle = {Proceedings of the Nineteenth International Joint Conference on
Artificial Intelligence, {IJCAI-05}},
publisher = {International Joint Conferences on Artificial Intelligence},
pages = {460--464},
year = {2005},
url = {https://ijcai.org/proceedings/2005/49},
}
TY - CPAPER TI - Iterated Belief Change: A Transition System Approach AU - Hunter, Aaron AU - Delgrande, James P. T2 - Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05 PB - International Joint Conferences on Artificial Intelligence PY - 2005 SP - 460 EP - 464 UR - https://ijcai.org/proceedings/2005/49 ER -Copied
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