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» Decision Making under Uncertainty: Operations Research Meets...
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AAAI
2000
13 years 5 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
IAT
2007
IEEE
13 years 11 months ago
Formalizing Practical Reasoning Under Uncertainty: An Argumentation-Based Approach
Practical reasoning (PR), as advocated by philosophers is concerned by reasoning about what agents should do. It follows mainly two steps. A deliberation one for identifying the g...
Leila Amgoud, Henri Prade
IJCAI
2001
13 years 6 months ago
Complexity of Probabilistic Planning under Average Rewards
A general and expressive model of sequential decision making under uncertainty is provided by the Markov decision processes (MDPs) framework. Complex applications with very large ...
Jussi Rintanen
AI
2002
Springer
13 years 4 months ago
Using similarity criteria to make issue trade-offs in automated negotiations
Automated negotiation is a key form of interaction in systems that are composed of multiple autonomous agents. The aim of such interactions is to reach agreements through an itera...
Peyman Faratin, Carles Sierra, Nicholas R. Jenning...
IAT
2010
IEEE
13 years 2 months ago
Selecting Operator Queries Using Expected Myopic Gain
When its human operator cannot continuously supervise (much less teleoperate) an agent, the agent should be able to recognize its limitations and ask for help when it risks making...
Robert Cohn, Michael Maxim, Edmund H. Durfee, Sati...