Iterated Belief Change: A Transition System Approach
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 non-elementary. 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.
Cite
Text
Hunter and Delgrande. "Iterated Belief Change: A Transition System Approach." International Joint Conference on Artificial Intelligence, 2005.Markdown
[Hunter and Delgrande. "Iterated Belief Change: A Transition System Approach." International Joint Conference on Artificial Intelligence, 2005.](https://mlanthology.org/ijcai/2005/hunter2005ijcai-iterated/)BibTeX
@inproceedings{hunter2005ijcai-iterated,
title = {{Iterated Belief Change: A Transition System Approach}},
author = {Hunter, Aaron and Delgrande, James P.},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2005},
pages = {460-465},
url = {https://mlanthology.org/ijcai/2005/hunter2005ijcai-iterated/}
}