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» Making Rational Decisions Using Adaptive Utility Elicitation
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AAAI
2000
13 years 6 months ago
Making Rational Decisions Using Adaptive Utility Elicitation
Rational decision making requires full knowledge of the utility function of the person affected by the decisions. However, in many cases, the task of acquiring such knowledge is n...
Urszula Chajewska, Daphne Koller, Ronald Parr
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...
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
AAAI
2011
12 years 5 months ago
Recommendation Sets and Choice Queries: There Is No Exploration/Exploitation Tradeoff!
Utility elicitation is an important component of many applications, such as decision support systems and recommender systems. Such systems query users about their preferences and ...
Paolo Viappiani, Craig Boutilier
IJCAI
2003
13 years 6 months ago
On the Foundations of Expected Expected Utility
Intelligent agents often need to assess user utility functions in order to make decisions on their behalf, or predict their behavior. When uncertainty exists over the precise natu...
Craig Boutilier