activity
20122020
most citedQualitative Models for Decision Under Uncertainty without the Commensurability Assumption

25 citations · 61 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI2020

Bayesian preference elicitation for multiobjective combinatorial optimization

Nadjet Bourdache, Patrice Perny, Olivier Spanjaard

We introduce a new incremental preference elicitation procedure able to deal with noisy responses of a Decision Maker (DM). The originality of the contribution is to propose a Baye…

cs.AI2013★ 4 cited

Approximation of Lorenz-Optimal Solutions in Multiobjective Markov Decision Processes

Patrice Perny, Paul Weng, Judy Goldsmith +1

This paper is devoted to fair optimization in Multiobjective Markov Decision Processes (MOMDPs). A MOMDP is an extension of the MDP model for planning under uncertainty while tryin…

cs.AI2013★ 25 cited

Qualitative Models for Decision Under Uncertainty without the Commensurability Assumption

Helene Fargier, Patrice Perny

This paper investigates a purely qualitative version of Savage's theory for decision making under uncertainty. Until now, most representation theorems for preference over acts rely…

cs.AI2012★ 16 cited

An Axiomatic Approach to Robustness in Search Problems with Multiple Scenarios

Patrice Perny, Olivier Spanjaard

This paper is devoted to the search of robust solutions in state space graphs when costs depend on scenarios. We first present axiomatic requirements for preference compatibility w…

cs.AI2012★ 16 cited

Search for Choquet-optimal paths under uncertainty

Lucie Galand, Patrice Perny

Choquet expected utility (CEU) is one of the most sophisticated decision criteria used in decision theory under uncertainty. It provides a generalisation of expected utility enhanc…