General Game Heuristic Prediction Based on Ludeme Descriptions

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

doi:10.1109/CoG52621.2021.9619052

General Game Heuristic Prediction Based on Ludeme Descriptions

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

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

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Abstract

This paper investigates the performance of different general-game-playing heuristics for games in the Ludii general game system. Based on these results, we train several regression learning models to predict the performance of these heuristics based on each game's description file. We also provide a condensed analysis of the games available in Ludii, and the different ludemes that define them.

Original language	English
Title of host publication	2021 IEEE Conference on Games (CoG)
Publisher	IEEE Canada
Pages	878-881
Number of pages	4
ISBN (Print)	978-1-6654-4608-2
DOIs	https://doi.org/10.1109/CoG52621.2021.9619052
Publication status	Published - 20 Aug 2021
Event	3rd IEEE Conference on Games - Online, IT Univesity of Copenhagen, Copenhagen, Denmark Duration: 17 Aug 2021 → 20 Aug 2021 Conference number: 3 https://ieee-cog.org/2021/

Conference

Conference	3rd IEEE Conference on Games
Abbreviated title	CoG 2021
Country/Territory	Denmark
City	Copenhagen
Period	17/08/21 → 20/08/21
Internet address	https://ieee-cog.org/2021/

Keywords

Conferences
Games
Predictive models

Access to Document

10.1109/CoG52621.2021.9619052

Full TextFinal published version, 288 KBLicence: Taverne

https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9619052

Cite this

@inproceedings{0e2da77eea4e414fa2031707535cf2d8,

title = "General Game Heuristic Prediction Based on Ludeme Descriptions",

abstract = "This paper investigates the performance of different general-game-playing heuristics for games in the Ludii general game system. Based on these results, we train several regression learning models to predict the performance of these heuristics based on each game's description file. We also provide a condensed analysis of the games available in Ludii, and the different ludemes that define them.",

keywords = "Conferences, Games, Predictive models",

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 Data Science and Knowledge Engineering. Publisher Copyright: {\textcopyright} 2021 IEEE.; 3rd IEEE Conference on Games, CoG 2021 ; Conference date: 17-08-2021 Through 20-08-2021",

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doi = "10.1109/CoG52621.2021.9619052",

language = "English",

isbn = "978-1-6654-4608-2",

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publisher = "IEEE Canada",

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url = "https://ieee-cog.org/2021/",

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T1 - General Game Heuristic Prediction Based on Ludeme Descriptions

AU - Stephenson, Matthew

AU - Soemers, Dennis J. N. J.

AU - Piette, Éric

AU - Browne, Cameron

N1 - Conference code: 3

PY - 2021/8/20

Y1 - 2021/8/20

N2 - This paper investigates the performance of different general-game-playing heuristics for games in the Ludii general game system. Based on these results, we train several regression learning models to predict the performance of these heuristics based on each game's description file. We also provide a condensed analysis of the games available in Ludii, and the different ludemes that define them.

AB - This paper investigates the performance of different general-game-playing heuristics for games in the Ludii general game system. Based on these results, we train several regression learning models to predict the performance of these heuristics based on each game's description file. We also provide a condensed analysis of the games available in Ludii, and the different ludemes that define them.

KW - Conferences

KW - Games

KW - Predictive models

UR - https://ieeexplore.ieee.org/document/9619052/

U2 - 10.1109/CoG52621.2021.9619052

DO - 10.1109/CoG52621.2021.9619052

M3 - Conference article in proceeding

SN - 978-1-6654-4608-2

SP - 878

EP - 881

BT - 2021 IEEE Conference on Games (CoG)

PB - IEEE Canada

T2 - 3rd IEEE Conference on Games

Y2 - 17 August 2021 through 20 August 2021

ER -

General Game Heuristic Prediction Based on Ludeme Descriptions

Abstract

Conference

Keywords

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