Which Rules for Mu Torere?

Cameron Browne

doi:10.1007/978-3-031-34017-8_10

Which Rules for Mu Torere?

Cameron Browne^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic

Abstract

Mu Torere is a traditional board game played by the Maori people of New Zealand. It has simple rules, low complexity and has been fully analysed, but surprisingly is often described with incorrect rules in the literature. This paper compares the various known rulesets for Mu Torere to investigate which provides the most interesting game, as the first step in a more thorough analysis of this game.

Original language	English
Title of host publication	Computers and Games
Subtitle of host publication	International Conference, CG 2022, Revised Selected Papers
Editors	Cameron Browne, Akihiro Kishimoto, Jonathan Schaeffer
Publisher	Springer Verlag
Pages	111-120
Number of pages	10
Volume	13865 LNCS
ISBN (Print)	9783031340161
DOIs	https://doi.org/10.1007/978-3-031-34017-8_10
Publication status	Published - 1 Jan 2023
Event	11th International Conference on Computers and Games - Online, Maastricht, Netherlands Duration: 22 Nov 2022 → 24 Nov 2022 Conference number: 11

Publication series

Series	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13865 LNCS
ISSN	0302-9743

Conference

Conference	11th International Conference on Computers and Games
Abbreviated title	CG 2022
Country/Territory	Netherlands
City	Maastricht
Period	22/11/22 → 24/11/22

Keywords

Board Game
Game AI
Game Analysis
Mu Torere

Access to Document

10.1007/978-3-031-34017-8_10

Cite this

Browne, Cameron. / Which Rules for Mu Torere?. Computers and Games: International Conference, CG 2022, Revised Selected Papers. editor / Cameron Browne ; Akihiro Kishimoto ; Jonathan Schaeffer. Vol. 13865 LNCS Springer Verlag, 2023. pp. 111-120 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13865 LNCS).

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title = "Which Rules for Mu Torere?",

abstract = "Mu Torere is a traditional board game played by the Maori people of New Zealand. It has simple rules, low complexity and has been fully analysed, but surprisingly is often described with incorrect rules in the literature. This paper compares the various known rulesets for Mu Torere to investigate which provides the most interesting game, as the first step in a more thorough analysis of this game.",

keywords = "Board Game, Game AI, Game Analysis, Mu Torere",

author = "Cameron Browne",

note = "Funding Information: This work was funded by the European Research Council as part of the Digital Ludeme Project (ERC CoG #771292). Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 11th International Conference on Computers and Games, CG 2022 ; Conference date: 22-11-2022 Through 24-11-2022",

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doi = "10.1007/978-3-031-34017-8_10",

language = "English",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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editor = "Cameron Browne and Akihiro Kishimoto and Jonathan Schaeffer",

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Browne, C 2023, Which Rules for Mu Torere? in C Browne, A Kishimoto & J Schaeffer (eds), Computers and Games: International Conference, CG 2022, Revised Selected Papers. vol. 13865 LNCS, Springer Verlag, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13865 LNCS, pp. 111-120, 11th International Conference on Computers and Games, Maastricht, Netherlands, 22/11/22. https://doi.org/10.1007/978-3-031-34017-8_10

Which Rules for Mu Torere? / Browne, Cameron.
Computers and Games: International Conference, CG 2022, Revised Selected Papers. ed. / Cameron Browne; Akihiro Kishimoto; Jonathan Schaeffer. Vol. 13865 LNCS Springer Verlag, 2023. p. 111-120 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13865 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic