activity
20142023
most citedProcedural Content Generation through Quality Diversity

125 citations · 485 across the 34 of their papers we have counts for

collaborators
Showing 2018Show all

5 papers · 1 filter

cs.AI2018★ 8 cited

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…

cs.NE2018★ 27 cited

Quality Diversity Through Surprise

Daniele Gravina, Antonios Liapis, Georgios N. Yannakakis

Quality diversity is a recent family of evolutionary search algorithms which focus on finding several well-performing (quality) yet different (diversity) solutions with the aim to…

cs.HC2018★ 3 cited

Data-driven Design: A Case for Maximalist Game Design

Gabriella A. B. Barros, Michael Cerny Green, Antonios Liapis +1

Maximalism in art refers to drawing on and combining multiple different sources for art creation, embracing the resulting collisions and heterogeneity. This paper discusses the use…

cs.AI2018

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.…

cs.AI2018

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…