Stochastic dominance in stochastic DCOPs for risk-sensitive applications

Stochastic dominance in stochastic DCOPs for risk-sensitive applications

Distributed constraint optimization problems (DCOPs) are well-suited for modeling multi-agent coordination problems where the primary interactions are between local subsets of agents. However, one limitation of DCOPs is the assumption that the constraint rewards are without uncertainty. Researchers...

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Bibliographic Details
Main Authors: NGUYEN DUC THIEN, YEOH, William, LAU, Hoong Chuin
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2012
Subjects:
DCOP
DPOP
Stochastic Dominance
Uncertainty
Artificial Intelligence and Robotics
Computer Sciences
Operations Research, Systems Engineering and Industrial Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/3370
https://ink.library.smu.edu.sg/context/sis_research/article/4372/viewcontent/StochasticDominanceDCOP.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/3370
https://ink.library.smu.edu.sg/context/sis_research/article/4372/viewcontent/StochasticDominanceDCOP.pdf

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