125 citations · 485 across the 34 of their papers we have counts for
14 papers · 1 filter
The Invariant Ground Truth of Affect
Konstantinos Makantasis, Kosmas Pinitas, Antonios Liapis +1
Affective computing strives to unveil the unknown relationship between affect elicitation, manifestation of affect and affect annotations. The ground truth of affect, however, is p…
Generative Personas That Behave and Experience Like Humans
Matthew Barthet, Ahmed Khalifa, Antonios Liapis +1
Using artificial intelligence (AI) to automatically test a game remains a critical challenge for the development of richer and more complex game worlds and for the advancement of A…
Seeding Diversity into AI Art
Marvin Zammit, Antonios Liapis, Georgios N. Yannakakis
This paper argues that generative art driven by conformance to a visual and/or semantic corpus lacks the necessary criteria to be considered creative. Among several issues identifi…
Playing Against the Board: Rolling Horizon Evolutionary Algorithms Against Pandemic
Konstantinos Sfikas, Antonios Liapis
Competitive board games have provided a rich and diverse testbed for artificial intelligence. This paper contends that collaborative board games pose a different challenge to artif…
SuSketch: Surrogate Models of Gameplay as a Design Assistant
Panagiotis Migkotzidis, Antonios Liapis
This paper introduces SuSketch, a design tool for first person shooter levels. SuSketch provides the designer with gameplay predictions for two competing players of specific charac…
Transforming Exploratory Creativity with DeLeNoX
Antonios Liapis, Hector P. Martinez, Julian Togelius +1
We introduce DeLeNoX (Deep Learning Novelty Explorer), a system that autonomously creates artifacts in constrained spaces according to its own evolving interestingness criterion. D…
10 Years of the PCG workshop: Past and Future Trends
Antonios Liapis
As of 2020, the international workshop on Procedural Content Generation enters its second decade. The annual workshop, hosted by the international conference on the Foundations of…
Collaborative Agent Gameplay in the Pandemic Board Game
Konstantinos Sfikas, Antonios Liapis
While artificial intelligence has been applied to control players' decisions in board games for over half a century, little attention is given to games with no player competition.…
Tabletop Roleplaying Games as Procedural Content Generators
Matthew Guzdial, Devi Acharya, Max Kreminski +4
Tabletop roleplaying games (TTRPGs) and procedural content generators can both be understood as systems of rules for producing content. In this paper, we argue that TTRPG design ca…
I Feel I Feel You: A Theory of Mind Experiment in Games
David Melhart, Georgios N. Yannakakis, Antonios Liapis
In this study into the player's emotional theory of mind of gameplaying agents, we investigate how an agent's behaviour and the player's own performance and emotions shape the reco…
Two-step Constructive Approaches for Dungeon Generation
Michael Cerny Green, Ahmed Khalifa, Athoug Alsoughayer +3
This paper presents a two-step generative approach for creating dungeons in the rogue-like puzzle game MiniDungeons 2. Generation is split into two steps, initially producing the a…
DATA Agent
Michael Cerny Green, Gabriella A. B. Barros, Antonios Liapis +1
This paper introduces DATA Agent, a system which creates murder mystery adventures from open data. In the game, the player takes on the role of a detective tasked with finding the…
Automated Playtesting with Procedural Personas through MCTS with Evolved Heuristics
Christoffer Holmgård, Michael Cerny Green, Antonios Liapis +1
This paper describes a method for generative player modeling and its application to the automatic testing of game content using archetypal player models called procedural personas.…
Who Killed Albert Einstein? From Open Data to Murder Mystery Games
Gabriella A. B. Barros, Michael Cerny Green, Antonios Liapis +1
This paper presents a framework for generating adventure games from open data. Focusing on the murder mystery type of adventure games, the generator is able to transform open data…