Dynamic consistency and decision making under vacuous belief

Phan H. Giang
Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence, PMLR R9:268-275, 2011.

Abstract

The ideas about decision making under ignorance in economics are combined with the ideas about uncertainty representation in computer science. The combination sheds new light on the question of how artificial agents can act in a dynamically consistent manner. The notion of sequential consistency is formalized by adapting the law of iterated expectation for plausibility measures. The necessary and sufficient condition for a certainty equivalence operator for Nehring-Puppe’s preference to be sequentially consistent is given. This result sheds light on the models of decision making under uncertainty.

Cite this Paper

BibTeX
@InProceedings{pmlr-vR9-giang11a, title = {Dynamic consistency and decision making under vacuous belief}, author = {Giang, Phan H.}, booktitle = {Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence}, pages = {268--275}, year = {2011}, editor = {Cozman, Fabio and Pfeffer, Avi}, volume = {R9}, series = {Proceedings of Machine Learning Research}, month = {14--17 Jul}, publisher = {PMLR}, pdf = {https://raw.githubusercontent.com/mlresearch/r9/main/assets/giang11a/giang11a.pdf}, url = {https://proceedings.mlr.press/r9/giang11a.html}, abstract = {The ideas about decision making under ignorance in economics are combined with the ideas about uncertainty representation in computer science. The combination sheds new light on the question of how artificial agents can act in a dynamically consistent manner. The notion of sequential consistency is formalized by adapting the law of iterated expectation for plausibility measures. The necessary and sufficient condition for a certainty equivalence operator for Nehring-Puppe’s preference to be sequentially consistent is given. This result sheds light on the models of decision making under uncertainty.}, note = {Reissued by PMLR on 04 October 2026.} }
Endnote
%0 Conference Paper %T Dynamic consistency and decision making under vacuous belief %A Phan H. Giang %B Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence %C Proceedings of Machine Learning Research %D 2011 %E Fabio Cozman %E Avi Pfeffer %F pmlr-vR9-giang11a %I PMLR %P 268--275 %U https://proceedings.mlr.press/r9/giang11a.html %V R9 %X The ideas about decision making under ignorance in economics are combined with the ideas about uncertainty representation in computer science. The combination sheds new light on the question of how artificial agents can act in a dynamically consistent manner. The notion of sequential consistency is formalized by adapting the law of iterated expectation for plausibility measures. The necessary and sufficient condition for a certainty equivalence operator for Nehring-Puppe’s preference to be sequentially consistent is given. This result sheds light on the models of decision making under uncertainty. %Z Reissued by PMLR on 04 October 2026.
APA
Giang, P.H.. (2011). Dynamic consistency and decision making under vacuous belief. Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence, in Proceedings of Machine Learning Research R9:268-275 Available from https://proceedings.mlr.press/r9/giang11a.html. Reissued by PMLR on 04 October 2026.

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