Arbeitspapier
From a Regret to an Expected Utility Model: a learning process
This paper identifies in a feed-forward neural network the mathematical algorithm which can catch the learning process highlighted by econometric works that makes people assess the satisfaction arising in each single contingency so that they are better depicted in their decision making by an Expected Utility rather than by a Regret Model. Evidence from experimental economics are also accounted for, since the network does not manage to extrapolate the former from the latter model when probabilities are extreme.
- Sprache
-
Englisch
- Erschienen in
-
Series: Quaderni - Working Paper DSE ; No. 284
- Klassifikation
-
Wirtschaft
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Giusti, Giuliano
Zagonari, Fabio
- Ereignis
-
Veröffentlichung
- (wer)
-
Alma Mater Studiorum - Università di Bologna, Dipartimento di Scienze Economiche (DSE)
- (wo)
-
Bologna
- (wann)
-
1997
- DOI
-
doi:10.6092/unibo/amsacta/5026
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:45 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Giusti, Giuliano
- Zagonari, Fabio
- Alma Mater Studiorum - Università di Bologna, Dipartimento di Scienze Economiche (DSE)
Entstanden
- 1997
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