Elimination from design to analysis

Ahmed Khalifa; Dan Gopstein; Julian Togelius

doi:10.1109/CIG.2019.8848017

Elimination from design to analysis

Ahmed Khalifa, Dan Gopstein, Julian Togelius

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

Abstract

Elimination is a word puzzle game for browsers and mobile devices, where all levels are generated by a constrained evolutionary algorithm with no human intervention. This paper describes the design of the game and its level generation methods, and analysis of playtraces from almost a thousand players. The analysis corroborates that the level generator creates a sawtooth-shaped difficulty curve, as intended. The analysis also offers insights into player behavior in this game.

Original language	English (US)
Title of host publication	IEEE Conference on Games 2019, CoG 2019
Publisher	IEEE Computer Society
ISBN (Electronic)	9781728118840
DOIs	https://doi.org/10.1109/CIG.2019.8848017
State	Published - Aug 2019
Event	2019 IEEE Conference on Games, CoG 2019 - London, United Kingdom Duration: Aug 20 2019 → Aug 23 2019

Publication series

Name	IEEE Conference on Computatonal Intelligence and Games, CIG
Volume	2019-August
ISSN (Print)	2325-4270
ISSN (Electronic)	2325-4289

Conference

Conference	2019 IEEE Conference on Games, CoG 2019
Country/Territory	United Kingdom
City	London
Period	8/20/19 → 8/23/19

Keywords

Difficulty measurement
Game design
Postmortem
Procedural content generation
Puzzles
Word games

ASJC Scopus subject areas

Artificial Intelligence
Computer Graphics and Computer-Aided Design
Computer Vision and Pattern Recognition
Human-Computer Interaction
Software

Access to Document

10.1109/CIG.2019.8848017

Cite this

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title = "Elimination from design to analysis",

abstract = "Elimination is a word puzzle game for browsers and mobile devices, where all levels are generated by a constrained evolutionary algorithm with no human intervention. This paper describes the design of the game and its level generation methods, and analysis of playtraces from almost a thousand players. The analysis corroborates that the level generator creates a sawtooth-shaped difficulty curve, as intended. The analysis also offers insights into player behavior in this game.",

keywords = "Difficulty measurement, Game design, Postmortem, Procedural content generation, Puzzles, Word games",

author = "Ahmed Khalifa and Dan Gopstein and Julian Togelius",

note = "Funding Information: ACKNOWLEDGMENT Ahmed Khalifa acknowledges the financial support from NSF grant (Award number 1717324 - “RI: Small: General Intelligence through Algorithm Invention and Selection.”). Funding Information: Ahmed Khalifa acknowledges the financial support from NSF grant (Award number 1717324 - {"}RI: Small: General Intelligence through Algorithm Invention and Selection.{"}). Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Conference on Games, CoG 2019 ; Conference date: 20-08-2019 Through 23-08-2019",

year = "2019",

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doi = "10.1109/CIG.2019.8848017",

language = "English (US)",

series = "IEEE Conference on Computatonal Intelligence and Games, CIG",

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AU - Khalifa, Ahmed

AU - Gopstein, Dan

AU - Togelius, Julian

N1 - Funding Information: ACKNOWLEDGMENT Ahmed Khalifa acknowledges the financial support from NSF grant (Award number 1717324 - “RI: Small: General Intelligence through Algorithm Invention and Selection.”). Funding Information: Ahmed Khalifa acknowledges the financial support from NSF grant (Award number 1717324 - "RI: Small: General Intelligence through Algorithm Invention and Selection."). Publisher Copyright: © 2019 IEEE.

PY - 2019/8

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N2 - Elimination is a word puzzle game for browsers and mobile devices, where all levels are generated by a constrained evolutionary algorithm with no human intervention. This paper describes the design of the game and its level generation methods, and analysis of playtraces from almost a thousand players. The analysis corroborates that the level generator creates a sawtooth-shaped difficulty curve, as intended. The analysis also offers insights into player behavior in this game.

AB - Elimination is a word puzzle game for browsers and mobile devices, where all levels are generated by a constrained evolutionary algorithm with no human intervention. This paper describes the design of the game and its level generation methods, and analysis of playtraces from almost a thousand players. The analysis corroborates that the level generator creates a sawtooth-shaped difficulty curve, as intended. The analysis also offers insights into player behavior in this game.

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KW - Game design

KW - Postmortem

KW - Procedural content generation

KW - Puzzles

KW - Word games

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M3 - Conference contribution

AN - SCOPUS:85073114985

T3 - IEEE Conference on Computatonal Intelligence and Games, CIG

BT - IEEE Conference on Games 2019, CoG 2019

PB - IEEE Computer Society

T2 - 2019 IEEE Conference on Games, CoG 2019

Y2 - 20 August 2019 through 23 August 2019

ER -

Elimination from design to analysis

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

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