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Related papers: Instruction-Driven Game Engines on Large Language …

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The Instruction-Driven Game Engine (IDGE) project aims to democratize game development by enabling a large language model (LLM) to follow free-form game descriptions and generate game-play processes. The IDGE allows users to create games…

Artificial Intelligence · Computer Science 2024-10-18 Hongqiu Wu , Xingyuan Liu , Yan Wang , Hai Zhao

Game development is a highly specialized task that relies on a complex game engine powered by complex programming languages, preventing many gaming enthusiasts from handling it. This paper introduces the Chat Game Engine (ChatGE) powered by…

Artificial Intelligence · Computer Science 2024-12-17 Jiale Hong , Hongqiu Wu , Hai Zhao

Educational games can foster critical thinking, problem-solving, and motivation, yet instructors often find it difficult to design games that reliably achieve specific learning outcomes. Existing authoring environments reduce the need for…

Human-Computer Interaction · Computer Science 2026-03-05 Daijin Yang , Erica Kleinman , Casper Harteveld

The prototyping of computer games, particularly card games, requires extensive human effort in creative ideation and gameplay evaluation. Recent advances in Large Language Models (LLMs) offer opportunities to automate and streamline these…

Computation and Language · Computer Science 2025-09-10 Danrui Li , Sen Zhang , Sam S. Sohn , Kaidong Hu , Muhammad Usman , Mubbasir Kapadia

Game Description Language (GDL) provides a standardized way to express diverse games in a machine-readable format, enabling automated game simulation, and evaluation. While previous research has explored game description generation using…

Artificial Intelligence · Computer Science 2025-01-23 Tsunehiko Tanaka , Edgar Simo-Serra

While artificial intelligence (AI) technology is becoming increasingly popular, its underlying mechanisms tend to remain opaque to most people. To address this gap, the field of AI literacy aims to develop various resources to teach people…

Computers and Society · Computer Science 2026-03-31 Allison Chen , Isabella Pu

We illustrate how purpose-specific, graphical modeling enables application experts with different levels of expertise to collaboratively design and then produce complex applications using their individual, purpose-specific modeling…

By conditioning on natural language instructions, large language models (LLMs) have displayed impressive capabilities as general-purpose computers. However, task performance depends significantly on the quality of the prompt used to steer…

Machine Learning · Computer Science 2023-03-13 Yongchao Zhou , Andrei Ioan Muresanu , Ziwen Han , Keiran Paster , Silviu Pitis , Harris Chan , Jimmy Ba

Modern game development faces significant challenges in creativity and cost due to predetermined content in traditional game engines. Recent breakthroughs in video generation models, capable of synthesizing realistic and interactive virtual…

Computer Vision and Pattern Recognition · Computer Science 2025-05-30 Jiwen Yu , Yiran Qin , Haoxuan Che , Quande Liu , Xintao Wang , Pengfei Wan , Di Zhang , Xihui Liu

Implementing board games in code can be a time-consuming task. However, Large Language Models (LLMs) have been proven effective at generating code for domain-specific tasks with simple contextual information. We aim to investigate whether…

In games, as in and many other domains, design validation and testing is a huge challenge as systems are growing in size and manual testing is becoming infeasible. This paper proposes a new approach to automated game validation and testing.…

Software Engineering · Computer Science 2022-08-22 Alessandro Sestini , Joakim Bergdahl , Konrad Tollmar , Andrew D. Bagdanov , Linus Gisslén

Computer games play an important role in our society and motivate people to learn computer science. Since artificial intelligence is integral to most games, they can also be used to teach artificial intelligence. We introduce the Game AI…

Computers and Society · Computer Science 2015-11-25 Mark O. Riedl

Large Language Models (LLMs) reasoning abilities are increasingly being applied to classical board and card games, but the dominant approach -- involving prompting for direct move generation -- has significant drawbacks. It relies on the…

In recent years, large language models (LLMs) have shown significant advancements in natural language processing (NLP), with strong capa-bilities in generation, comprehension, and rea-soning. These models have found applications in…

Artificial Intelligence · Computer Science 2025-04-02 Hui Wang

The application of games as a therapeutic tool for cognitive training is beneficial for patients with cognitive impairments. However, effective game design for individual patient is resource-intensive. To this end, we propose an LLM-powered…

Human-Computer Interaction · Computer Science 2026-04-14 Jingwei Shi , Shengyu Tao , Xinxiang Yin , Chen Huang , Wenqiang Lei , See-Kiong Ng

Large language models (LLMs) have taken the scientific world by storm, changing the landscape of natural language processing and human-computer interaction. These powerful tools can answer complex questions and, surprisingly, perform…

Artificial Intelligence · Computer Science 2023-11-14 Pier Luca Lanzi , Daniele Loiacono

Machine learning, the foundation of modern artificial intelligence, has driven innovations that have fundamentally transformed the world. Yet, behind advancements lies a complex and often tedious process requiring labor and compute…

Artificial Intelligence · Computer Science 2025-02-19 Zhengyao Jiang , Dominik Schmidt , Dhruv Srikanth , Dixing Xu , Ian Kaplan , Deniss Jacenko , Yuxiang Wu

In this work, we explore explicit Large Language Model (LLM)-powered support for the iterative design of computer programs. Program design, like other design activity, is characterized by navigating a space of alternative problem…

Human-Computer Interaction · Computer Science 2025-03-11 J. D. Zamfirescu-Pereira , Eunice Jun , Michael Terry , Qian Yang , Björn Hartmann

Automatically generating novel and interesting games is a complex task. Challenges include representing game rules in a computationally workable form, searching through the large space of potential games under most such representations, and…

Artificial Intelligence · Computer Science 2024-12-04 Graham Todd , Alexander Padula , Matthew Stephenson , Éric Piette , Dennis J. N. J. Soemers , Julian Togelius

While general game playing is an active field of research, the learning of game design has tended to be either a secondary goal of such research or it has been solely the domain of humans. We propose a field of research, Automated Game…

Artificial Intelligence · Computer Science 2017-07-12 Joseph C Osborn , Adam Summerville , Michael Mateas
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