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» Modelling Uncertainty in Agent Programming
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IOR
2011
152views more  IOR 2011»
14 years 7 months ago
Risk-Averse Two-Stage Stochastic Linear Programming: Modeling and Decomposition
We formulate a risk-averse two-stage stochastic linear programming problem in which unresolved uncertainty remains after the second stage. The objective function is formulated as ...
Naomi Miller, Andrzej Ruszczynski
AAAI
2000
15 years 1 months ago
Decision-Theoretic, High-Level Agent Programming in the Situation Calculus
We propose a frameworkfor robot programming which allows the seamless integration of explicit agent programming with decision-theoretic planning. Specifically, the DTGolog model a...
Craig Boutilier, Raymond Reiter, Mikhail Soutchans...
103
Voted
LADS
2009
Springer
15 years 5 months ago
Temporal Planning in Dynamic Environments for P-CLAIM Agents
—Time and uncertainty of the environment are very important aspects in the development of real world applications. Another important issue for the real world agents is, the balan...
Muhammad Adnan Hashmi, Amal El Fallah-Seghrouchni
CP
2007
Springer
15 years 6 months ago
Uncertainty in Bipolar Preference Problems
Preferences and uncertainty are common in many real-life problems. In this paper, we focus on bipolar preferences and on uncertainty modelled via uncontrollable variables. However,...
Stefano Bistarelli, Maria Silvia Pini, Francesca R...
82
Voted
ATAL
2005
Springer
15 years 6 months ago
Agent synthesis: partnership and agreement in cooperative mobile agents
This work focuses on an emerging extension to traditional agent models, called Hierarchical Mobile Agents model, where an agent can contain other agents recursively. The model ena...
Fuyuki Ishikawa, Yasuyuki Tahara, Nobukazu Yoshiok...