activity
20182025
most citedPredicting Game Engagement and Difficulty Using AI Players

17 citations · 35 across the 6 of their papers we have counts for

collaborators
Showing cs.AIShow all

5 papers · 1 filter

cs.AI202117 cited

Predicting Game Engagement and Difficulty Using AI Players

Shaghayegh Roohi, Christian Guckelsberger, Asko Relas +3

This paper presents a novel approach to automated playtesting for the prediction of human player behavior and experience. It has previously been demonstrated that Deep Reinforcemen…

cs.AI20212 cited

Embodiment and Computational Creativity

Christian Guckelsberger, Anna Kantosalo, Santiago Negrete-Yankelevich +1

We conjecture that creativity and the perception of creativity are, at least to some extent, shaped by embodiment. This makes embodiment highly relevant for Computational Creativit…

cs.AI20197 cited

Generative Design in Minecraft: Chronicle Challenge

Christoph Salge, Christian Guckelsberger, Michael Cerny Green +2

We introduce the Chronicle Challenge as an optional addition to the Settlement Generation Challenge in Minecraft. One of the foci of the overall competition is adaptive procedural…

cs.AI2018

New And Surprising Ways to Be Mean. Adversarial NPCs with Coupled Empowerment Minimisation

Christian Guckelsberger, Christoph Salge, Julian Togelius

Creating Non-Player Characters (NPCs) that can react robustly to unforeseen player behaviour or novel game content is difficult and time-consuming. This hinders the design of belie…

cs.AI2018

Accelerating Empowerment Computation with UCT Tree Search

Christoph Salge, Christian Guckelsberger, Rodrigo Canaan +1

Models of intrinsic motivation present an important means to produce sensible behaviour in the absence of extrinsic rewards. Applications in video games are varied, and range from…