A Symmetric View of Utilities and Probabilities
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence. Probabilistic Reasoning. Pages 1324-1328.
Abstract
Motivated by the need to reason about utilities, and inspired by the success of bayesian networks in representing and reasoning about probabilities, we introduce the notion of utility distributions, in which utilities have the structure of probabilities. We furthermore define the notion of a hi-distribution, a structure that includes in a symmetric fashion both a probability distribution and a utility distribution. We give several examp les of hi-distributions . We also show that every state space with standard probability distribution and utility function can be embedded in a hi-distribution, and provide bounds on the size requirements of this hi-distribution . Finally, we suggest a reinterpretation of the von-Neumann and Morgenstern theorem in light of this new model.
@inproceedings{ijcai1997p191,
title = {A Symmetric View of Utilities and Probabilities},
author = {Shoham, Yoav},
booktitle = {Proceedings of the Fifteenth International Joint Conference on
Artificial Intelligence, {IJCAI-97}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Martha E. Pollack},
pages = {1324--1328},
year = {1997},
note = {Probabilistic Reasoning},
url = {https://ijcai.org/proceedings/1997/191},
}
TY - CPAPER TI - A Symmetric View of Utilities and Probabilities AU - Shoham, Yoav T2 - Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, IJCAI-97 PB - International Joint Conferences on Artificial Intelligence PY - 1997 SP - 1324 EP - 1328 UR - https://ijcai.org/proceedings/1997/191 ER -Copied
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