Inductive inference with incompleteness

成果类型:
Article
署名作者:
Alon, Shiri; Bavly, Gilad; Gayer, Gabrielle
署名单位:
Bar Ilan University
刊物名称:
GAMES AND ECONOMIC BEHAVIOR
ISSN/ISSBN:
0899-8256
DOI:
10.1016/j.geb.2022.01.020
发表日期:
2022
页码:
576-591
关键词:
Incompleteness Inductive inference case-based decision theory Likelihood comparisons
摘要:
We present an axiomatic model of a process wherein likelihoods of eventualities are compared based on data. One eventuality is perceived as more likely than another whenever the data corroborates this conclusion. However, the correct relevance of records to the eventualities under consideration may be impossible to ascertain with any degree of surety due to multiple interpretations of the data, formalized by allowing the evaluator to entertain multiple weighting functions. The evaluator ranks one eventuality as more likely than another whenever its total weight over the entire database is higher, according to all relevance-weighting functions. Otherwise, the comparison is indecisive. (C) 2022 Elsevier Inc. All rights reserved.
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