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In this article, we review recent Deep Learning advances in the context of how they have been applied to play different types of video games such as first-person shooters, arcade games, and real-time strategy games. We analyze the unique…

Artificial Intelligence · Computer Science 2019-02-19 Niels Justesen , Philip Bontrager , Julian Togelius , Sebastian Risi

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 of maximalism in game design and particularly in data…

Human-Computer Interaction · Computer Science 2018-06-01 Gabriella A. B. Barros , Michael Cerny Green , Antonios Liapis , Julian Togelius

This report documents the development, test, and application of Large Language Models (LLMs) for automated text analysis, with a specific focus on gambling-like elements in digital games, such as lootboxes. The project aimed not only to…

General Economics · Economics 2024-12-13 Thomas Krause , Steffen Otterbach , Johannes Singer

This paper introduces a system used to generate game feature suggestions based on a text prompt. Trained on the game descriptions of almost 60k games, it uses the word embeddings of a small GLoVe model to extract features and entities found…

Information Retrieval · Computer Science 2023-08-29 M Charity , Yash Bhartia , Daniel Zhang , Ahmed Khalifa , Julian Togelius

Data is becoming an important central point for making design decisions for most software. Game development is not an exception. As data-driven methods and systems start to populate these environments, a good question is: can we make models…

Human-Computer Interaction · Computer Science 2021-10-13 Jichen Zhu , Magy Seif El-Nasr

The advancement of Large Language Models (LLMs), including GPT-4, provides exciting new opportunities for generative design. We investigate the application of this tool across the entire design and manufacturing workflow. Specifically, we…

Procedural Content Generation via Machine Learning (PCGML) faces a significant hurdle that sets it apart from other fields, such as image or text generation, which is limited annotated data. Many existing methods for procedural level…

Computer Vision and Pattern Recognition · Computer Science 2023-06-30 Negar Mirgati , Matthew Guzdial

Machine learning enables the extraction of useful information from large, diverse datasets. However, despite many successful applications, machine learning continues to suffer from performance and transparency issues. These challenges can…

Machine Learning · Computer Science 2025-07-08 V. C. Storey , J. Parsons , A. Castellanos , M. Tremblay , R. Lukyanenko , W. Maass , A. Castillo

Machine learning (ML) systems have become vital in the mobile gaming industry. Companies like King have been using them in production to optimize various parts of the gaming experience. One important area is in-app purchases: purchases made…

Generative systems have a significant potential to synthesize innovative design alternatives. Still, most of the common systems that have been adopted in design require the designer to explicitly define the specifications of the procedures…

Machine Learning · Computer Science 2019-04-03 Ardavan Bidgoli , Pedro Veloso

In recent years, there has been a growing application of mixed-initiative co-creative approaches in the creation of video games. The rapid advances in the capabilities of artificial intelligence (AI) systems further propel creative…

Human-Computer Interaction · Computer Science 2025-08-18 Solange Margarido , Licínio Roque , Penousal Machado , Pedro Martins

We introduce the concept of Procedural Content Generation via Knowledge Transformation (PCG-KT), a new lens and framework for characterizing PCG methods and approaches in which content generation is enabled by the process of knowledge…

Artificial Intelligence · Computer Science 2023-05-02 Anurag Sarkar , Matthew Guzdial , Sam Snodgrass , Adam Summerville , Tiago Machado , Gillian Smith

Creative generation is the synthesis of new, surprising, and valuable samples that reflect user intent yet cannot be envisioned in advance. This task aims to extend human imagination, enabling the discovery of visual concepts that exist in…

Graphics · Computer Science 2025-10-14 Shelly Golan , Yotam Nitzan , Zongze Wu , Or Patashnik

We present initial research towards procedural generation of Simplified Boardgames and translating them into an efficient GDL code. This is a step towards establishing Simplified Boardgames as a comparison class for General Game Playing…

Artificial Intelligence · Computer Science 2015-08-04 Jakub Kowalski , Marek Szykuła

Generative deep learning systems offer powerful tools for artefact generation, given their ability to model distributions of data and generate high-fidelity results. In the context of computational creativity, however, a major shortcoming…

Machine Learning · Computer Science 2021-07-13 Terence Broad , Sebastian Berns , Simon Colton , Mick Grierson

In recent years, the fields of artificial intelligence and web-based programming have seen tremendous advancements, enabling developers to create dynamic and interactive websites and applications. At the forefront of these advancements,…

Human-Computer Interaction · Computer Science 2023-08-24 Benjamin Kenwright

The integration of machine learning (ML) into spatial design holds immense potential for optimizing space utilization, enhancing functionality, and streamlining design processes. ML can automate tasks, predict performance outcomes, and…

Human-Computer Interaction · Computer Science 2025-07-03 Yuxuan Yang

Procedural content generation (PCG) can be applied to a wide variety of tasks in games, from narratives, levels and sounds, to trees and weapons. A large amount of game content is comprised of graphical assets, such as clouds, buildings or…

Graphics · Computer Science 2025-06-30 Kaisei Fukaya , Damon Daylamani-Zad , Harry Agius

In the field of Human-Computer Interaction (HCI), interactive devices with embedded mechanical computation are gaining attention. The rise of these cutting-edge devices has created a need for specialized design tools that democratize the…

Human-Computer Interaction · Computer Science 2024-10-31 Qiuyu Lu , Jiawei Fang , Zhihao Yao , Yue Yang , Shiqing Lyu , Haipeng Mi , Lining Yao

Automated game design is the problem of automatically producing games through computational processes. Traditionally, these methods have relied on the authoring of search spaces by a designer, defining the space of all possible games for…

Artificial Intelligence · Computer Science 2021-02-22 Matthew Guzdial , Mark Riedl
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