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- Publisher Website: 10.1016/j.jmateco.2024.103003
- Scopus: eid_2-s2.0-85195682139
- WOS: WOS:001257662000001
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Article: From local utility to neural networks
| Title | From local utility to neural networks |
|---|---|
| Authors | |
| Keywords | Linear utility function Maxmin utility Neural networks Piecewise linear utility function |
| Issue Date | 1-Aug-2024 |
| Publisher | Elsevier |
| Citation | Journal of Mathematical Economics, 2024, v. 113 How to Cite? |
| Abstract | 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. |
| Persistent Identifier | http://hdl.handle.net/10722/358205 |
| ISSN | 2023 Impact Factor: 1.0 2023 SCImago Journal Rankings: 0.707 |
| ISI Accession Number ID |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Ke, Shaowei | - |
| dc.contributor.author | Zhao, Chen | - |
| dc.date.accessioned | 2025-07-26T00:30:21Z | - |
| dc.date.available | 2025-07-26T00:30:21Z | - |
| dc.date.issued | 2024-08-01 | - |
| dc.identifier.citation | Journal of Mathematical Economics, 2024, v. 113 | - |
| dc.identifier.issn | 0304-4068 | - |
| dc.identifier.uri | http://hdl.handle.net/10722/358205 | - |
| dc.description.abstract | <p>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.</p> | - |
| dc.language | eng | - |
| dc.publisher | Elsevier | - |
| dc.relation.ispartof | Journal of Mathematical Economics | - |
| dc.subject | Linear utility function | - |
| dc.subject | Maxmin utility | - |
| dc.subject | Neural networks | - |
| dc.subject | Piecewise linear utility function | - |
| dc.title | From local utility to neural networks | - |
| dc.type | Article | - |
| dc.identifier.doi | 10.1016/j.jmateco.2024.103003 | - |
| dc.identifier.scopus | eid_2-s2.0-85195682139 | - |
| dc.identifier.volume | 113 | - |
| dc.identifier.eissn | 1873-1538 | - |
| dc.identifier.isi | WOS:001257662000001 | - |
| dc.identifier.issnl | 0304-4068 | - |
