On the number of bins in equilibria for signaling games
Author
Sarıtaş, Serkan
Yüksel, Serdar
Gezici, Sinan
Date
2019-07Source Title
2019 IEEE International Symposium on Information Theory (ISIT)
Publisher
IEEE
Pages
972 - 976
Language
English
Type
Conference PaperItem Usage Stats
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Abstract
We investigate the equilibrium behavior for the decentralized quadratic cheap talk problem in which an encoder and a decoder, viewed as two decision makers, have misaligned objective functions. In prior work, we have shown that the number of bins under any equilibrium has to be at most countable, generalizing a classical result due to Crawford and Sobel who considered sources with density supported on [0, 1]. In this paper, we refine this result in the context of exponential and Gaussian sources. For exponential sources, a relation between the upper bound on the number of bins and the misalignment in the objective functions is derived, the equilibrium costs are compared, and it is shown that there also exist equilibria with infinitely many bins under certain parametric assumptions. For Gaussian sources, it is shown that there exist equilibria with infinitely many bins.
Keywords
DecodingGames
Upper bound
Quantization (signal)
Manganese
Linear programming
Cost function