摘要
We introduce and analyze two preference-based notions of local linearity in the spirit of Machina (1982). We show how the weaker among the two extends Machina’s local utility analysis, and that the stronger among the two characterizes continuous finite piecewise linear (CFPL) utility functions. We introduce a representation of the decision maker’s preference called the neural-network utility representation that is equivalent to the CFPL representation, in which the decision maker evaluates an alternative through a neural network.
源语言 | 英语 |
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文章编号 | 103003 |
页数 | 17 |
期刊 | Journal of Mathematical Economics |
卷 | 113 |
DOI | |
出版状态 | 已出版 - 8月 2024 |
成果物的来源
- ABDC-A
- SSCI
- SCIE
指纹
探究 'From local utility to neural networks' 的科研主题。它们共同构成独一无二的指纹。引用此
Ke, S., & Zhao, C. (2024). From local utility to neural networks. Journal of Mathematical Economics, 113, 文章 103003. https://doi.org/10.1016/j.jmateco.2024.103003