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AAAI
2000
13 years 8 months ago
Decision Making under Uncertainty: Operations Research Meets AI (Again)
Models for sequential decision making under uncertainty (e.g., Markov decision processes,or MDPs) have beenstudied in operations research for decades. The recent incorporation of ...
Craig Boutilier
WSC
2000
13 years 8 months ago
Input modeling using a computer algebra system
Input modeling that involves fitting standard univariate parametric probability distributions is typically performed using an input modeling package. These packages typically fit ...
Diane L. Evans, Lawrence Leemis
NAACL
1994
13 years 8 months ago
Session 10: Government Panel
The Workshop included an extended group of presentations by selected US government agencies and an invited guest from the European Community. These presentations, amplified in the...
Oscar N. Garcia
UAI
2007
13 years 8 months ago
"I Can Name that Bayesian Network in Two Matrixes!"
The traditional approach to building Bayesian networks is to build the graphical structure using a graphical editor and then add probabilities using a separate spreadsheet for eac...
Russell Almond
AAMAS
2008
Springer
13 years 7 months ago
Using quantitative models to search for appropriate organizational designs
As the scale and scope of distributed and multi-agent systems grow, it becomes increasingly important to design and manage the participants' interactions. The potential for b...
Bryan Horling, Victor R. Lesser