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IJCAI
2003
13 years 6 months ago
Incremental Utility Elicitation with the Minimax Regret Decision Criterion
Utility elicitation is a critical function of any automated decision aid, allowing decisions to be tailored to the preferences of a specific user. However, the size and complexit...
Tianhan Wang, Craig Boutilier
AI
2006
Springer
13 years 5 months ago
Constraint-based optimization and utility elicitation using the minimax decision criterion
In many situations, a set of hard constraints encodes the feasible configurations of some system or product over which multiple users have distinct preferences. However, making su...
Craig Boutilier, Relu Patrascu, Pascal Poupart, Da...
SIGECOM
2010
ACM
183views ECommerce» more  SIGECOM 2010»
13 years 9 months ago
Assessing regret-based preference elicitation with the UTPREF recommendation system
Product recommendation and decision support systems must generally develop a model of user preferences by querying or otherwise interacting with a user. Recent approaches to elici...
Darius Braziunas, Craig Boutilier
UAI
2003
13 years 6 months ago
Cooperative Negotiation in Autonomic Systems using Incremental Utility Elicitation
Decentralized resource allocation is a key problem for large-scale autonomic (or self-managing) computing systems. Motivated by a data center scenario, we explore efficient techn...
Craig Boutilier, Rajarshi Das, Jeffrey O. Kephart,...
AAAI
2012
11 years 7 months ago
Sequential Decision Making with Rank Dependent Utility: A Minimax Regret Approach
This paper is devoted to sequential decision making with Rank Dependent expected Utility (RDU). This decision criterion generalizes Expected Utility and enables to model a wider r...
Gildas Jeantet, Patrice Perny, Olivier Spanjaard