Evidential Probability
Proceedings of the Twelfth International Joint Conference on Artificial Intelligence. Qualitative Reasoning. Pages 1196-1202.
Abstract
We characterize and illustrate evidential probability - an interval-valued measure of uncertainty that applies to sentences. Evidential probability is also taken to be relative to a body of knowledge or a database representing the data on which judgments of uncertainty are to be made. Every statement is equivalent to some statement to which statistics in the database are relevant. The problem is to find the correct statement; this is the problem of finding the correct reference class for a statement. A set of rules for determining the correct reference class is offered.
@inproceedings{ijcai1991p176,
title = {Evidential Probability},
author = {Jr., Henry E. Kyburg},
booktitle = {Proceedings of the Twelfth International Joint Conference on
Artificial Intelligence, {IJCAI-91}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {John Mylopoulos and Ray Reiter},
pages = {1196--1202},
year = {1991},
month = {8},
note = {Qualitative Reasoning},
url = {https://ijcai.org/proceedings/1991/176},
}
TY - CPAPER TI - Evidential Probability AU - Jr., Henry E. Kyburg T2 - Proceedings of the Twelfth International Joint Conference on Artificial Intelligence, IJCAI-91 PB - International Joint Conferences on Artificial Intelligence PY - 1991 SP - 1196 EP - 1202 UR - https://ijcai.org/proceedings/1991/176 ER -Copied
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