Guessing with lies

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Guessing with lies.pdf (125.1 KB)

Date

2002-06-07

Authors

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Source Title

IEEE International Symposium on Information Theory - Proceedings

Print ISSN

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Publisher

IEEE

Volume

Issue

Pages

208

Language

English

Type

Conference Paper

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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.

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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

Citation

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

item.page.isversionof

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

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Department of Electrical and Electronics Engineering