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Possible Interpretations for Game Refinement Measure

Publication typeBook Chapter
Publication date2017-08-24
scimago Q2
SJR0.352
CiteScore2.4
Impact factor
ISSN03029743, 16113349, 18612075, 18612083
Abstract
This paper explores possible interpretations for game refinement measure which has been successfully used to quantify the game sophistication of various types of games such as boardgames and sports. It presents a brief sketch of game refinement theory with a focus on its early works with boardgames, expansion into continuous movement games such as sports, and a bridge between sports and boardgames. It then highlights the bridging idea while considering possible interpretations for game refinement measure, and the meaning of game refinement measure is discussed with a focus on the skill and chance aspects in game playing. It enables to have a new perspective of game refinement theory. Moreover, an example of interpretation for game refinement measure from boardgames and continuous movement games such as MOBA game is shown. The interpretation is well fitting to our intuition as game players and spectators.
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Lecture Notes in Computer Science
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GOST |
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GOST Copy
Xiong S., Zuo L., Iida H. Possible Interpretations for Game Refinement Measure // Lecture Notes in Computer Science. 2017. pp. 322-334.
GOST all authors (up to 50) Copy
Xiong S., Zuo L., Iida H. Possible Interpretations for Game Refinement Measure // Lecture Notes in Computer Science. 2017. pp. 322-334.
RIS |
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RIS Copy
TY - GENERIC
DO - 10.1007/978-3-319-66715-7_35
UR - https://doi.org/10.1007/978-3-319-66715-7_35
TI - Possible Interpretations for Game Refinement Measure
T2 - Lecture Notes in Computer Science
AU - Xiong, Shuo
AU - Zuo, Long
AU - Iida, Hiroyuki
PY - 2017
DA - 2017/08/24
PB - Springer Nature
SP - 322-334
SN - 0302-9743
SN - 1611-3349
SN - 1861-2075
SN - 1861-2083
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@incollection{2017_Xiong,
author = {Shuo Xiong and Long Zuo and Hiroyuki Iida},
title = {Possible Interpretations for Game Refinement Measure},
publisher = {Springer Nature},
year = {2017},
pages = {322--334},
month = {aug}
}