133 search results - page 11 / 27 » Decision making under uncertainty using imprecise probabilit... |
ATAL
2009
Springer
2009
Springer
Effective solutions for real-world Stackelberg games: when agents must deal with human uncertainties
15 years 4 months ago
How do we build multiagent algorithms for agent interactions with human adversaries? Stackelberg games are natural models for many important applications that involve human intera...
CONSTRAINTS
2006
14 years 9 months ago
2006
To model combinatorial decision problems involving uncertainty and probability, we introduce scenario based stochastic constraint programming. Stochastic constraint programs conta...
AAAI
2008
14 years 11 months ago
2008
Partially Observable Markov Decision Processes have been studied widely as a model for decision making under uncertainty, and a number of methods have been developed to find the s...
EMO
2009
Springer
15 years 4 months ago
2009
Springer
To model combinatorial decision problems involving uncertainty and probability, we introduce stochastic constraint programming. Stochastic constraint programs contain both decision...
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IJCAI
2003
14 years 10 months ago
2003
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...