Utilities as Random Variables: Density Estimation and Structure Discovery
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
Collaborative Filtering by Personality Diagnosis: A Hybrid Memory and Model-Based Approach
UAI '00 Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence
UCP-Networks: A Directed Graphical Representation of Conditional Utilities
UAI '01 Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence
Making Rational Decisions Using Adaptive Utility Elicitation
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
A POMDP formulation of preference elicitation problems
Eighteenth national conference on Artificial intelligence
Incremental utility elicitation with minimax regret decision criterion
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
Empirical analysis of predictive algorithms for collaborative filtering
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Utility elicitation as a classification problem
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
A POMDP formulation of preference elicitation problems
Eighteenth national conference on Artificial intelligence
Constraint-based optimization and utility elicitation using the minimax decision criterion
Artificial Intelligence
Rumours and reputation: evaluating multi-dimensional trust within a decentralised reputation system
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Mechanisms for information elicitation
Artificial Intelligence
Robust mechanisms for information elicitation
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Constraint-based optimization and utility elicitation using the minimax decision criterion
Artificial Intelligence
Preference elicitation for risky prospects
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
Full length article: Minority game for cognitive radios: Cooperating without cooperation
Physical Communication
Decision-theoretic approximations for machine learning
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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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 nature of this utility function, one can model this uncertainty using a distribution over utility functions. This view lies at the core of games with incomplete information and, more recently, several proposals for incremental preference elicitation. In such cases, decisions (or predicted behavior) are based on computing the expected expected utility (EEU) of decisions with respect to the distribution over utility functions. Unfortunately, decisions made under EEU are sensitive to the precise representation of the utility function. We examine the conditions under which EEU provides for sensible decisions by appeal to the foundational axioms of decision theory. We also discuss the impact these conditions have on the enterprise of preference elicitation more broadly.