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  5. Player type distributions as state variables and information revelation in zero sum repeated games with discounting
 
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Player type distributions as state variables and information revelation in zero sum repeated games with discounting

Author(s)
Bergin, James  
Uri
http://hdl.handle.net/10197/603
Date Issued
1992-08
Date Available
2008-10-22T14:08:54Z
Abstract
This paper examines the role of the player type distributions in repeated zero sum games of incomplete information with discounting of payoffs. In particular the strategic "sufficiency" of the posterior distributions for histories and the Limiting properties of the posterior sequence are discussed. It is shown that differentiability of the value function is sufficient to allow the posteriors to serve as "state" variables for histories. The limiting properties of the posterior distributions are considered and a characterization given of the set of possible limit points of the posterior distribution. This characterization is given in terms of the "value" of information in the one-stage game.
Type of Material
Journal Article
Publisher
Institute for Operations Research and the Management Sciences (INFORMS)
Journal
Mathematics of Operations Research
Volume
17
Issue
3
Start Page
640
End Page
656
Copyright (Published Version)
Copyright 1992 Institute of Management Sciences/or Operations Research of America
Subjects

Discounted payoffs

Incomplete informatio...

Zero-sum games

Subject – LCSH
Distribution (Probability theory)
Game theory
Probabilities
Web versions
http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=4475247&site=ehost-live
Language
English
Status of Item
Peer reviewed
ISSN
0364-765X
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
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berginj_article_pub_006.pdf

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529.37 KB

Format

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Checksum (MD5)

107db8bd38b2b6d5b4f4841d34f48251

Owning collection
Economics Research Collection
Mapped collections
Geary Institute Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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