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» Modelling Uncertainty in Agent Programming
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DIAGRAMS
2006
Springer
15 years 2 months ago
From Diagrams to Models by Analogical Transfer
Abstract. We present a method for constructing a teleological model of a drawing of a physical device through analogical transfer of the teleological model of the same device in an...
Patrick W. Yaner, Ashok K. Goel
LBM
2007
15 years 1 months ago
Decentralised Clinical Guidelines Modelling with Lightweight Coordination Calculus
Background: Clinical protocols and guidelines have been considered as a major means to ensure that cost-effective services are provided at the point of care. Recently, the comput...
Bo Hu, Srinandan Dasmahapatra, David Robertson, Pa...
AI
1998
Springer
15 years 2 days ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
FOCS
2005
IEEE
15 years 6 months ago
How to Pay, Come What May: Approximation Algorithms for Demand-Robust Covering Problems
Robust optimization has traditionally focused on uncertainty in data and costs in optimization problems to formulate models whose solutions will be optimal in the worstcase among ...
Kedar Dhamdhere, Vineet Goyal, R. Ravi, Mohit Sing...
ICALP
2005
Springer
15 years 5 months ago
Stochastic Steiner Trees Without a Root
Abstract. This paper considers the Steiner tree problem in the model of twostage stochastic optimization with recourse. This model, the focus of much recent research [1–4], tries...
Anupam Gupta, Martin Pál