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» Simplifying the Development of Intelligent Agents
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AAAI
1990
15 years 1 months ago
Symbolic Probabilistic Inference in Belief Networks
The Symbolic Probabilistic Inference (SPI) Algorithm [D'Ambrosio, 19891 provides an efficient framework for resolving general queries on a belief network. It applies the conc...
Ross D. Shachter, Bruce D'Ambrosio, Brendan Del Fa...
104
Voted
AAAI
2008
15 years 1 months ago
Personalized Reasoner Based on Belief Strengths of Information Sources
Traditionally, only “individual-independent” facts are inputted to a reasoner. The reasoner will produce the same answer to the same question, regardless of who the questioner...
Shu-Bin Cai, Zhong Ming, Shi-xian Li
AAAI
2010
15 years 1 months ago
Algorithms for Finding Approximate Formations in Games
Many computational problems in game theory, such as finding Nash equilibria, are algorithmically hard to solve. This limitation forces analysts to limit attention to restricted su...
Patrick R. Jordan, Michael P. Wellman
93
Voted
AAAI
2010
14 years 11 months ago
Simultaneous Elicitation of Preference Features and Utility
Most frameworks for utility elicitation assume a predefined set of features over which user preferences are expressed. We consider utility elicitation in the presence of subjecti...
Craig Boutilier, Kevin Regan, Paolo Viappiani
105
Voted
MMAS
2010
Springer
14 years 7 months ago
Clustering and Classification through Normalizing Flows in Feature Space
A unified variational methodology is developed for classification and clustering problems, and tested in the classification of tumors from gene expression data. It is based on flu...
J. P. Agnelli, M. Cadeiras, E. G. Tabak, C. V. Tur...