Reconstructing an Agent's Epistemic State from Observations
Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence. Pages 394-398.
Abstract
We look at the problem in belief revision of trying to make inferences about what an agent believed – or will believe – at a given moment, based on an observation of how the agent has responded to some sequence of previous belief revision inputs over time. We adopt a “reverse engineering” approach to this problem. Assuming a framework for iterated belief revision which is based on sequences, we construct a model of the agent that “best explains” the observation. Further considerations on this best-explaining model then allow inferences about the agent’s epistemic behaviour to be made. We also provide an algorithm which computes this best explanation.
@inproceedings{ijcai2005p71,
title = {Reconstructing an Agent's Epistemic State from Observations},
author = {Booth, Richard and Nittka, Alexander},
booktitle = {Proceedings of the Nineteenth International Joint Conference on
Artificial Intelligence, {IJCAI-05}},
publisher = {International Joint Conferences on Artificial Intelligence},
pages = {394--398},
year = {2005},
url = {https://ijcai.org/proceedings/2005/71},
}
TY - CPAPER TI - Reconstructing an Agent's Epistemic State from Observations AU - Booth, Richard AU - Nittka, Alexander T2 - Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, IJCAI-05 PB - International Joint Conferences on Artificial Intelligence PY - 2005 SP - 394 EP - 398 UR - https://ijcai.org/proceedings/2005/71 ER -Copied
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