J
Julian Togelius
Researcher at New York University
Publications - 442
Citations - 15850
Julian Togelius is an academic researcher from New York University. The author has contributed to research in topics: Game design & Game mechanics. The author has an hindex of 58, co-authored 420 publications receiving 13135 citations. Previous affiliations of Julian Togelius include Dalle Molle Institute for Artificial Intelligence Research & Harvard University.
Papers
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Journal ArticleDOI
Search-Based Procedural Content Generation: A Taxonomy and Survey
TL;DR: This article contains a survey of all published papers known to the authors in which game content is generated through search or optimisation, and ends with an overview of important open research problems.
Journal ArticleDOI
Experience-Driven Procedural Content Generation
TL;DR: The paper provides a taxonomy of PCG algorithms and introduces a framework for PCG driven by computational models of user experience, which is generic and applicable to various subareas of HCI.
Book
Procedural Content Generation in Games
TL;DR: This book presents the most up-to-date coverage of procedural content generation (PCG) for games, specifically the procedural generation of levels, landscapes, items, rules, quests, or other types of content.
Proceedings ArticleDOI
Towards automatic personalised content creation for racing games
TL;DR: An evolvable track representation is devised, and a multiobjective evolutionary algorithm maximises the entertainment value of the track relative to a particular human player.
Journal ArticleDOI
Procedural Content Generation via Machine Learning (PCGML)
Adam Summerville,Sam Snodgrass,Matthew Guzdial,Christoffer Holmgård,Amy K. Hoover,Aaron Isaksen,Andy Nealen,Julian Togelius +7 more
TL;DR: In this paper, a survey explores procedural content generation via machine learning (PCGML), defined as the generation of game content using machine learning models trained on existing content, focusing on what is most often considered functional game content, such as platformer levels, game maps, interactive fiction stories and cards in collectible card games.