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    Multi-agent sequential hypothesis testing

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    Type
    Conference Paper
    Authors
    Kim, Kwang-Ki K.
    Shamma, Jeff S. cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    RISC Laboratory
    Date
    2015-02-17
    Online Publication Date
    2015-02-17
    Print Publication Date
    2014-12
    Permanent link to this record
    http://hdl.handle.net/10754/550514
    
    Metadata
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    Abstract
    This paper considers multi-agent sequential hypothesis testing and presents a framework for strategic learning in sequential games with explicit consideration of both temporal and spatial coordination. The associated Bayes risk functions explicitly incorporate costs of taking private/public measurements, costs of time-difference and disagreement in actions of agents, and costs of false declaration/choices in the sequential hypothesis testing. The corresponding sequential decision processes have well-defined value functions with respect to (a) the belief states for the case of conditional independent private noisy measurements that are also assumed to be independent identically distributed over time, and (b) the information states for the case of correlated private noisy measurements. A sequential investment game of strategic coordination and delay is also discussed as an application of the proposed strategic learning rules.
    Citation
    Kim, K.-K. K., & Shamma, J. S. (2014). Multi-agent sequential hypothesis testing. 53rd IEEE Conference on Decision and Control. doi:10.1109/cdc.2014.7039682
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    53rd IEEE Conference on Decision and Control
    Conference/Event name
    Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
    DOI
    10.1109/CDC.2014.7039682
    Additional Links
    http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=7039682
    ae974a485f413a2113503eed53cd6c53
    10.1109/CDC.2014.7039682
    Scopus Count
    Collections
    Conference Papers; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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