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Consider $N$ players and $K$ games taking place simultaneously. Each of these games is modeled as a Tug-of-War (ToW) game where increasing the action of one player decreases the reward for all other players. Each player participates in only…

计算机科学与博弈论 · 计算机科学 2026-04-14 Siddharth Chandak , Ilai Bistritz , Nicholas Bambos

Esports has rapidly emerged as a global phenomenon with an ever-expanding audience via platforms, like YouTube. Due to the inherent complexity nature of the game, it is challenging for newcomers to comprehend what the event entails. The…

计算与语言 · 计算机科学 2024-06-14 Thye Shan Ng , Feiqi Cao , Soyeon Caren Han

We introduce TextWorld, a sandbox learning environment for the training and evaluation of RL agents on text-based games. TextWorld is a Python library that handles interactive play-through of text games, as well as backend functions like…

In an effort to foster learning by teaching, we propose the development of a canvas system that makes composing e-learning modules intuitive. We try to empower and liberate non-technical module users by lowering the bar for turning them…

计算机与社会 · 计算机科学 2015-11-02 Alexander Berntsen , Stian Ellingsen , Emil Henry Flakk

Recently, introducing computer science and educational robots in compulsory education has received increasing attention. However, the use of screens in classrooms is often met with resistance, especially in primary school. To address this…

We want to introduce another smoothing approach by treating each geometric element as a player in a game: a quest for the best element quality. In other words, each player has the goal of becoming as regular as possible. The set of…

计算机科学与博弈论 · 计算机科学 2020-10-13 Dimitris Vartziotis , Doris Bohnet , Benjamin Himpel

Large Language Models (LLMs) have demonstrated superior performance in language understanding benchmarks. CALM, a popular approach, leverages linguistic priors of LLMs -- GPT-2 -- for action candidate recommendations to improve the…

计算与语言 · 计算机科学 2023-11-15 Arjun Vaithilingam Sudhakar , Prasanna Parthasarathi , Janarthanan Rajendran , Sarath Chandar

The automatic evaluation of LLM-based agent intelligence is critical in developing advanced LLM-based agents. Although considerable effort has been devoted to developing human-annotated evaluation datasets, such as AlpacaEval, existing…

计算与语言 · 计算机科学 2023-11-07 Tian Liang , Zhiwei He , Jen-tse Huang , Wenxuan Wang , Wenxiang Jiao , Rui Wang , Yujiu Yang , Zhaopeng Tu , Shuming Shi , Xing Wang

Large language models (LLMs) are known to perform well on language tasks, but struggle with reasoning tasks. This paper explores the ability of LLMs to play the 2D puzzle game Baba is You, in which players manipulate rules by rearranging…

人工智能 · 计算机科学 2025-06-25 Fien van Wetten , Aske Plaat , Max van Duijn

This paper presents a cooperative location-based game for the elderly with the use of tablets equipped with mobile application. The game was designed to tackle at once several crucial topics related to the issue of aging, namely the social…

Video games have emerged as a medium for learning by creating engaging environments, encouraging creative and deep thinking, and exposing learners to complex problems. Unfortunately, even though there are increasing examples of video games…

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…

计算机与社会 · 计算机科学 2015-11-25 Mark O. Riedl

Game semantics has proven to be a robust method to give compositional semantics for a variety of higher-order programming languages. However, due to the complexity of most game models, game semantics has remained unapproachable for…

编程语言 · 计算机科学 2020-11-19 Nobuko Yoshida , Simon Castellan , Léo Stefanesco

We propose the problem of tutorial generation for games, i.e. to generate tutorials which can teach players to play games, as an AI problem. This problem can be approached in several ways, including generating natural language descriptions…

人工智能 · 计算机科学 2018-05-31 Michael Cerny Green , Ahmed Khalifa , Gabriella A. B. Barros , Julian Togelius

Children learning their first language face multiple problems of induction: how to learn the meanings of words, and how to build meaningful phrases from those words according to syntactic rules. We consider how children might solve these…

计算与语言 · 计算机科学 2018-05-15 Jon Gauthier , Roger Levy , Joshua B. Tenenbaum

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…

人工智能 · 计算机科学 2017-07-12 Joseph C Osborn , Adam Summerville , Michael Mateas

Language model finetuning often results in learning undesirable traits in combination with desired ones. To address this, we propose inoculation prompting: modifying finetuning data by prepending a short system-prompt instruction that…

计算与语言 · 计算机科学 2025-11-04 Daniel Tan , Anders Woodruff , Niels Warncke , Arun Jose , Maxime Riché , David Demitri Africa , Mia Taylor

Playing games is inherently human, and a lot of games are created to challenge different human characteristics. However, these tasks are often left out when evaluating the human-like nature of artificial models. The objective of this work…

This paper presents an innovative pedagogical framework employing tangible interactive games to enhance artificial intelligence (AI) knowledge and literacy among elementary education students. Recognizing the growing importance of AI…

计算机与社会 · 计算机科学 2025-07-22 Nikolaos Sampanis

Testing plays a crucial role in software development, and it is essential for software engineering students to receive proper testing education. However, motivating students to write tests and use automated testing during software…

软件工程 · 计算机科学 2024-02-01 Philipp Straubinger , Gordon Fraser