Sequential Neural Decision Processes in Multialternative Choice Problems

DEPARTMENT D'ECONOMIE ET SCIENCES DE LA DECISION 

Intervenant :  Fabio Maccheroni

Professor at Bocconi University

Salle T017

Abstract :

We introduce an algorithmic decision process for multialternative choice that combines binary comparisons and Markovian exploration. We show that a preferential property, transitivity, makes it testable.”

(joint work with Baldassi, Marinacci, and Pirazzini)