Time-Constrained Sequential Neural Decision Procedures in Multialternative Choice Problems

old_uid20138
titleTime-Constrained Sequential Neural Decision Procedures in Multialternative Choice Problems
start_date2022/03/11
schedule11h-12h30
onlineno
location_info6th Floor Room
summaryWe introduce an algorithmic decision process for multialternative choice, the Neural Metropolis Algorithm, that combines binary comparisons and Markovian exploration. We show that a stochastic version of transitivity, a basic tenet of rationality, makes this algorithm value-based. In so doing, we extend to decision procedures some classic stochastic choice notions.
responsiblesLe Lec, Laslier