Guessing with lies

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Guessing with lies.pdf (125.1 KB)

Date

2002-06-07

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Abstract

A practical algorithm was obtained for directly generating an optimal guessing sequence for guessing under lies. An optimal guessing strategy was defined as one which minimizes the number of average number of guesses in determining the correct value of a random variable. The information-theoretic bounds on the average number of guesses for optimal strategies were also derived.

Source Title

IEEE International Symposium on Information Theory - Proceedings

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IEEE

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Keywords

Sequential decoding, Algorithms, Constraint theory, Decision theory, Dynamic programming, Information theory, Probability distributions, Problem solving, Random processes, Signal encoding, Decoding

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http://hdl.handle.net/11693/27567

Published Version (Please cite this version)

https://doi.org/10.1109/ISIT.2002.1023480

Collections

Scholarly Publications - Electrical and Electronics Engineering

Language

English

Type

Conference Paper