Measuring Board Game Distance

Matthew Stephenson; Dennis J.N.J. Soemers; Éric Piette; Cameron Browne

doi:10.1007/978-3-031-34017-8_11

Measuring Board Game Distance

Matthew Stephenson^*, Dennis J.N.J. Soemers, Éric Piette, Cameron Browne

^*Corresponding author for this work

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

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Abstract

This paper presents a general approach for measuring distances between board games within the Ludii general game system. These distances are calculated using a previously published set of general board game concepts, each of which represents a common game idea or shared property. Our results compare and contrast two different measures of distance, highlighting the subjective nature of such metrics and discussing the different ways that they can be interpreted.

Original language	English
Title of host publication	Computers and Games - International Conference, CG 2022, Revised Selected Papers
Editors	Cameron Browne, Akihiro Kishimoto, Jonathan Schaeffer
Publisher	Springer Verlag
Pages	121-130
Number of pages	10
Volume	13865 LNCS
ISBN (Print)	9783031340161
DOIs	https://doi.org/10.1007/978-3-031-34017-8_11
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 games
Concepts
Distance
Ludii

Access to Document

10.1007/978-3-031-34017-8_11

Full TextFinal published version, 517 KBLicence: Taverne

Cite this

Stephenson, Matthew ; Soemers, Dennis J.N.J. ; Piette, Éric et al. / Measuring Board Game Distance. Computers and Games - International Conference, CG 2022, Revised Selected Papers. editor / Cameron Browne ; Akihiro Kishimoto ; Jonathan Schaeffer. Vol. 13865 LNCS Springer Verlag, 2023. pp. 121-130 (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 = "Measuring Board Game Distance",

abstract = "This paper presents a general approach for measuring distances between board games within the Ludii general game system. These distances are calculated using a previously published set of general board game concepts, each of which represents a common game idea or shared property. Our results compare and contrast two different measures of distance, highlighting the subjective nature of such metrics and discussing the different ways that they can be interpreted.",

keywords = "Board games, Concepts, Distance, Ludii",

author = "Matthew Stephenson and Soemers, {Dennis J.N.J.} and {\'E}ric Piette and Cameron Browne",

note = "Funding Information: This research is funded by the European Research Council as part of the Digital Ludeme Project (ERC Consolidator Grant #771292) led by Cameron Browne at Maastricht University{\textquoteright}s Department of Advanced Computing Sciences. References 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_11",

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

publisher = "Springer Verlag",

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Stephenson, M , Soemers, DJNJ , Piette, É & Browne, C 2023, Measuring Board Game Distance. 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. 121-130, 11th International Conference on Computers and Games, Maastricht, Netherlands, 22/11/22. https://doi.org/10.1007/978-3-031-34017-8_11

Measuring Board Game Distance. / Stephenson, Matthew ; Soemers, Dennis J.N.J.; Piette, Éric et al.
Computers and Games - International Conference, CG 2022, Revised Selected Papers. ed. / Cameron Browne; Akihiro Kishimoto; Jonathan Schaeffer. Vol. 13865 LNCS Springer Verlag, 2023. p. 121-130 (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

TY - CHAP

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AB - This paper presents a general approach for measuring distances between board games within the Ludii general game system. These distances are calculated using a previously published set of general board game concepts, each of which represents a common game idea or shared property. Our results compare and contrast two different measures of distance, highlighting the subjective nature of such metrics and discussing the different ways that they can be interpreted.

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VL - 13865 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Computers and Games - International Conference, CG 2022, Revised Selected Papers

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PB - Springer Verlag

T2 - 11th International Conference on Computers and Games

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Stephenson M , Soemers DJNJ , Piette É , Browne C. Measuring Board Game Distance. In Browne C, Kishimoto A, Schaeffer J, editors, Computers and Games - International Conference, CG 2022, Revised Selected Papers. Vol. 13865 LNCS. Springer Verlag. 2023. p. 121-130. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 13865 LNCS). doi: 10.1007/978-3-031-34017-8_11

Measuring Board Game Distance

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