A Martingale framework for trust

51 mins 46 secs,  715.88 MB,  MPEG-4 Video  480x360,  25.0 fps,  44100 Hz,  1.84 Mbits/sec
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Description: Hajek, B (Illinois Urbana-Champaign)
Monday 01 March 2010, 15:00-16:00
 
Created: 2010-03-09 11:11
Collection: Stochastic Processes in Communication Sciences
Publisher: Isaac Newton Institute
Copyright: Hajek, B
Language: eng (English)
Distribution: World     (downloadable)
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Author:  Hajek, B
Explicit content: No
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Abstract: It is well known that as information grows about a random variable, the conditional expectation of the random variable given the information evolves as a martingale. Therefore, martingales naturally arise in trust and reputation systems, which involve the evolution of trust or reputation with growing information. This work focuses on a particular decision problem - namely, which links to probe in a network, to assess the overall capability of the network. In essence, the decision maker is trying to establish the trustworthiness of a system by probing links within it. Each link is assumed to have a random binary state, fixed for all time, and when a link is probed the decision maker obtains a noisy observation of the link state. A particular example is probing links within a graph to determine whether the links with state one span the graph. The conditional state of each link is a martingale, and the conditional probability that the overall network state is good is also a martingale. Examples and preliminary analysis are described in this talk.
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