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.

Language
Englisch

Bibliographic citation
Series: Quaderni - Working Paper DSE ; No. 284

Classification
Wirtschaft

Event
Geistige Schöpfung
(who)
Giusti, Giuliano
Zagonari, Fabio
Event
Veröffentlichung
(who)
Alma Mater Studiorum - Università di Bologna, Dipartimento di Scienze Economiche (DSE)
(where)
Bologna
(when)
1997

DOI
doi:10.6092/unibo/amsacta/5026
Handle
Last update
10.03.2025, 11:45 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Giusti, Giuliano
  • Zagonari, Fabio
  • Alma Mater Studiorum - Università di Bologna, Dipartimento di Scienze Economiche (DSE)

Time of origin

  • 1997

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