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Cited by 50Artificial Intelligence in GamesEvolutionary Algorithms and ApplicationsDigital Games and Media

Procedural Personas as Critics for Dungeon Generation

Open access
Liapis, Antonios, Holmgård, Christoffer, Yannakakis, Georgios N., Togelius, Julian·2015·Lecture Notes in Computer Science
DOI 10.1007/978-3-319-16549-3_27
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Crossref · 10.1007/978-3-319-16549-3_27

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  • Automated playtesting research has mostly targeted generated levels, game balance, and imitation of human decision-making.

    “Automated playtesting for games has largely been focused on evaluating generated levels (Liapis et al. 2015;Powley et al. 2016;Holmgård et al. 2018) and game balance (Zook, Harrison, and Riedl 2015;Pfau et al. 2020Pfau et al. , 2022) ) and emulating human decision making (Devlin et al. 2016;Holmgård et al. 2016).”

    From Expressive Response Curves: Testing Expressive Game Feel with A* (2023) · cites this paper as Liapis et al. 2015

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Authors
Liapis, A., Holmgård, C., Yannakakis, G. N., & Togelius, J.
Affiliations
  • University of Malta (MT)
  • IT University of Copenhagen (DK)
Corresponding author
Liapis, Antonios
ORCID
Venue
Lecture Notes in Computer Science
Publisher
Springer International Publishing
Published
2015
Pages
331-343
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
DOI
10.1007/978-3-319-16549-3_27
OpenAlex
W850812170
Cited by
50
References
1
Citations by year
2026: 1 · 2025: 1 · 2024: 3 · 2023: 4 · 2022: 3 · 2021: 6 · 2020: 5 · 2019: 6 · 2018: 8 · 2017: 4 · 2016: 3 · 2015: 6
FWCI
3.94
Type
conference paper
Language
en
Open access
Licence
Locations
  • Lecture notes in computer science (publishedVersion)
  • OAR@UM (University of Malta) (submittedVersion, other-oa)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence in Games
  • Physical Sciences › Computer Science › Artificial Intelligence › Evolutionary Algorithms and Applications
  • Social Sciences › Sociology and Political Science › Digital Games and Media
Keywords
dungeon generation, procedural content generation, constrained optimization, player behavior modeling, game difficulty

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