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Games can be a powerful tool for learning about statistical methodology. Effective game design involves a fine balance between caricature and realism, to simultaneously illustrate salient concepts in a controlled setting and serve as a…

Other Statistics · Statistics 2018-05-15 Robert B. Gramacy

Federated learning is a setting where agents, each with access to their own data source, combine models from local data to create a global model. If agents are drawing their data from different distributions, though, federated learning…

Computer Science and Game Theory · Computer Science 2020-12-18 Kate Donahue , Jon Kleinberg

A natural goal in multiagent learning besides finding equilibria is to learn rationalizable behavior, where players learn to avoid iteratively dominated actions. However, even in the basic setting of multiplayer general-sum games, existing…

Machine Learning · Computer Science 2022-10-21 Yuanhao Wang , Dingwen Kong , Yu Bai , Chi Jin

Video game designers often view confusion as undesirable, yet it is inevitable, as new players must adapt to new interfaces and mechanics in an increasingly varied and innovative game market, which is more popular than ever. Research…

Human-Computer Interaction · Computer Science 2025-09-05 Thomas Vase Schultz Volden , Oleg Jarma Montoya , Paolo Burelli , Marco Scirea

There is a growing interest in researching game design processes, artifacts and culture through active game design. Tools and processes to support these attempts are limited, especially in terms of a) capturing smaller design decisions…

Human-Computer Interaction · Computer Science 2026-02-16 Prabhav Bhatnagar , Jianheng He , Shamit Ahmed , Andrés Lucero , Perttu Hämäläinen

Software applications continue to challenge user privacy when users interact with them. Privacy practices (e.g. Data Minimisation (DM), Privacy by Design (PbD) or General Data Protection Regulation (GDPR)) and related "privacy engineering"…

Cryptography and Security · Computer Science 2020-09-15 Nalin Asanka Gamagedara Arachchilage , Mumtaz Abdul Hameed

The question of how an effective and efficient communication system can emerge in a population of agents that need to solve a particular task attracts more and more attention from researchers in many fields, including artificial…

Artificial Intelligence · Computer Science 2020-04-21 Jens Nevens , Paul Van Eecke , Katrien Beuls

Competitive online games use rating systems to match players with similar skills to ensure a satisfying experience for players. In this paper, we focus on the importance of addressing different aspects of playing behavior when modeling…

Computer Science and Game Theory · Computer Science 2021-12-09 Arman Dehpanah , Muheeb Faizan Ghori , Jonathan Gemmell , Bamshad Mobasher

School classrooms are equipped with more and more mobile devices. However, the latest studies show that their use by teachers is still very limited because of a lack of resources and applications adapted to use these artifacts in education.…

Computers and Society · Computer Science 2018-12-27 Aous Karoui , Iza Marfisi-Schottman , Sébastien George

Recently, there have been several high-profile achievements of agents learning to play games against humans and beat them. In this paper, we study the problem of training intelligent agents in service of game development. Unlike the agents…

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

Games have long been a microcosm for studying planning and reasoning in both natural and artificial intelligence, especially with a focus on expert-level or even super-human play. But real life also pushes human intelligence along a…

Large Language Model agents are reshaping the industrial landscape. However, most practical agents remain human-designed because tasks differ widely, making them labor-intensive to build. This situation poses a central question: can we…

Artificial Intelligence · Computer Science 2026-04-29 Zhezheng Hao , Hong Wang , Jian Luo , Jianqing Zhang , Yuyan Zhou , Qiang Lin , Can Wang , Hande Dong , Jiawei Chen

Model-free reinforcement learning (RL) can be used to learn effective policies for complex tasks, such as Atari games, even from image observations. However, this typically requires very large amounts of interaction -- substantially more,…

Post-merger integration states unique challenges for professionals responsible for information system integration aimed on alignment and combination diverse system architectures of merging organizations. Although the theoretical and…

Artificial Intelligence · Computer Science 2025-10-09 Ksenija Lace , Marite Kirikova

Playing video games requires perception, memory, and planning, exactly the faculties modern large language model (LLM) agents are expected to master. We study the major challenges in using popular video games to evaluate modern LLMs and…

Artificial Intelligence · Computer Science 2025-06-04 Lanxiang Hu , Mingjia Huo , Yuxuan Zhang , Haoyang Yu , Eric P. Xing , Ion Stoica , Tajana Rosing , Haojian Jin , Hao Zhang

The process of developing a mobile application typically starts with the ideation and conceptualization of its user interface. This concept is then translated into a set of mock-ups to help determine how well the user interface embodies the…

Software Engineering · Computer Science 2019-01-07 Carlos Bernal-Cardenas , Kevin Moran , Michele Tufano , Zichang Liu , Linyong Nan , Zhehan Shi , Denys Poshyvanyk

Educational games are commonly used to motivate students and provide enhanced learning opportunities. Apps and mobile games play an increasingly important role in education and smartphones are part of the daily lives of most female…

Computers and Society · Computer Science 2020-06-15 Bernadette Spieler , Naomi Pfaff , Stefania Makrygiannaki , Wolfgang Slany

Personality assessment in career guidance and personnel selection traditionally relies on self-report questionnaires, which are susceptible to response bias, fatigue, and intentional distortion. Game-based assessment offers a promising…

Machine Learning · Computer Science 2026-01-06 Soroush Elyasi , Arya VarastehNezhad , Fattaneh Taghiyareh

We present RPGBench, the first benchmark designed to evaluate large language models (LLMs) as text-based role-playing game (RPG) engines. RPGBench comprises two core tasks: Game Creation (GC) and Game Simulation (GS). In GC, an LLM must…

Computation and Language · Computer Science 2025-02-04 Pengfei Yu , Dongming Shen , Silin Meng , Jaewon Lee , Weisu Yin , Andrea Yaoyun Cui , Zhenlin Xu , Yi Zhu , Xingjian Shi , Mu Li , Alex Smola
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