Rights statement: This is the author’s version of a work that was accepted for publication in Games and Economic Behavior. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Games and Economic Behavior, 108, 2018 DOI: 10.1016/j.geb.2017.12.003
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Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Lloyd Shapley and chess with imperfect information
AU - Matros, Alexander
N1 - This is the author’s version of a work that was accepted for publication in Games and Economic Behavior. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Games and Economic Behavior, 108, 2018 DOI: 10.1016/j.geb.2017.12.003
PY - 2018/3
Y1 - 2018/3
N2 - Anyone who has ever studied game theory knows the name Lloyd Shapley. Just recall Matching, Deferred-Acceptance Algorithm, Core, Market Games, Stochastic Games, Shapley value, and Shapley vector.1 But Professor Shapley was also a great lover of chess with imperfect information. Upon our first encounter at Stony Brook in 1998, I was fortunate to investigate the chess problems he set before me. In this essay I analyze some of those problems, in commemoration of Lloyd Shapley's contributions to the study of chess and chess with imperfect information.
AB - Anyone who has ever studied game theory knows the name Lloyd Shapley. Just recall Matching, Deferred-Acceptance Algorithm, Core, Market Games, Stochastic Games, Shapley value, and Shapley vector.1 But Professor Shapley was also a great lover of chess with imperfect information. Upon our first encounter at Stony Brook in 1998, I was fortunate to investigate the chess problems he set before me. In this essay I analyze some of those problems, in commemoration of Lloyd Shapley's contributions to the study of chess and chess with imperfect information.
KW - Imperfect information
KW - Chess
KW - Kriegspiel
KW - Stochastic games
U2 - 10.1016/j.geb.2017.12.003
DO - 10.1016/j.geb.2017.12.003
M3 - Journal article
VL - 108
SP - 600
EP - 613
JO - Games and Economic Behavior
JF - Games and Economic Behavior
SN - 0899-8256
ER -