中文
相关论文

相关论文: Instruction-Driven Game Engine: A Poker Case Study

200 篇论文

People enjoy encounters with generative software, but rarely are they encouraged to interact with, understand or engage with it. In this paper we define the term 'PCG-based game', and explain how this concept follows on from the idea of an…

人工智能 · 计算机科学 2016-10-12 Michael Cook , Mirjam Eladhari , Andy Nealen , Mike Treanor , Eddy Boxerman , Alex Jaffe , Paul Sottosanti , Steve Swink

We present PORTAL, a novel framework for developing artificial intelligence agents capable of playing thousands of 3D video games through language-guided policy generation. By transforming decision-making problems into language modeling…

机器学习 · 计算机科学 2025-03-18 Zhongwen Xu , Xianliang Wang , Siyi Li , Tao Yu , Liang Wang , Qiang Fu , Wei Yang

As a contribution to the challenge of building game-playing AI systems, we develop and analyse a formal language for representing and reasoning about strategies. Our logical language builds on the existing general Game Description Language…

人工智能 · 计算机科学 2014-07-22 Dongmo Zhang , Michael Thielsher

This technical report outlines the fundamental workings of the game logic behind Ludii, a general game system, that can be used to play a wide variety of games. Ludii is a program developed for the ERC-funded Digital Ludeme Project, in…

人工智能 · 计算机科学 2022-06-03 Éric Piette , Cameron Browne , Dennis J. N. J. Soemers

In this paper, we present a novel approach using the Auto GPT system alongside Design Sprint methodology to facilitate board game creation for inexperienced users. We introduce the implementation of Auto GPT for generating diverse board…

人机交互 · 计算机科学 2023-12-25 Maya Grace Torii , Takahito Murakami , Yoichi Ochiai

As Machine Learning (ML) systems becomes more ubiquitous, ensuring the fair and equitable application of their underlying algorithms is of paramount importance. We argue that one way to achieve this is to proactively cultivate public…

计算机与社会 · 计算机科学 2020-04-22 Eric Chu , Nabeel Gillani , Sneha Priscilla Makini

We propose a dynamic information manipulation game (DIMG) to investigate the incentives of an information manipulator (IM) to influence the transition rules of a partially observable Markov decision process (POMDP). DIMG is a hierarchical…

最优化与控制 · 数学 2025-07-15 Shutian Liu , Quanyan Zhu

This paper introduces prompted software engineering (PSE), which integrates prompt engineering to build effective prompts for language-based AI models, to enhance the software development process. PSE enables the use of AI models in…

软件工程 · 计算机科学 2023-11-08 Dae-Kyoo Kim

Games have long been used as benchmarks and testing environments for research in artificial intelligence. A key step in supporting this research was the development of game description languages: frameworks that compile domain-specific code…

人工智能 · 计算机科学 2026-03-27 Graham Todd , Alexander G. Padula , Dennis J. N. J. Soemers , Julian Togelius

In this paper, we present a method for automated persona-driven video game tutorial level generation. Tutorial levels are scenarios in which the player can explore and discover different rules and game mechanics. Procedural personas can…

人工智能 · 计算机科学 2022-04-12 Michael Cerny Green , Ahmed Khalifa , M Charity , Julian Togelius

In many problems that involve multiple decision making agents, optimal choices for each agent depend on the choices of others. Differential game theory provides a principled formalism for expressing these coupled interactions and recent…

多智能体系统 · 计算机科学 2020-04-07 Lasse Peters , Zachary N. Sunberg

Games offer a compelling paradigm for developing general reasoning capabilities in language models, as they naturally demand strategic planning, probabilistic inference, and adaptive decision-making. However, existing self-play approaches…

Recent Language Models (LMs) achieve breakthrough performance in code generation when trained on human-authored problems, even solving some competitive-programming problems. Self-play has proven useful in games such as Go, and thus it is…

机器学习 · 计算机科学 2023-04-13 Patrick Haluptzok , Matthew Bowers , Adam Tauman Kalai

Papert's constructionism makes it clear that learning is particularly effective when learners create tangible artifacts and share and discuss them in social contexts. Technological progress in recent decades has created numerous…

人机交互 · 计算机科学 2025-04-28 Stefan Pietrusky

Modern video games are complex, non-deterministic systems that are difficult to test automatically at scale. Although prior work shows that personality-driven Large Language Model (LLM) agents can improve behavioural diversity and test…

软件工程 · 计算机科学 2026-04-10 Yifei Chen , Sarra Habchi , Lili Wei

As Large Language Models (LLMs) are increasingly deployed in decision-critical domains, it becomes essential to ensure that their confidence estimates faithfully correspond to their actual correctness. Existing calibration methods have…

计算与语言 · 计算机科学 2025-08-21 Ke Fang , Tianyi Zhao , Lu Cheng

ost recent popular Role-Playing Games (RPGs) allow players to create in-game characters with hundreds of adjustable parameters, including bone positions and various makeup options. Although text-driven auto-customization systems have been…

多媒体 · 计算机科学 2024-08-22 Haoqian Wu , Minda Zhao , Zhipeng Hu , Lincheng Li , Weijie Chen , Rui Zhao , Changjie Fan , Xin Yu

Driven by the rapid growth of machine learning, recent advances in game artificial intelligence (AI) have significantly impacted productivity across various gaming genres. Reward design plays a pivotal role in training game AI models,…

人工智能 · 计算机科学 2024-06-19 In-Chang Baek , Tae-Hwa Park , Jin-Ha Noh , Cheong-Mok Bae , Kyung-Joong Kim

Large language models (LLMs) have demonstrated considerable reasoning abilities in various tasks such as mathematics and coding. However, recent studies indicate that even the best models lack true comprehension of their reasoning…

人工智能 · 计算机科学 2025-07-08 Pinzheng Wang , Juntao Li , Zecheng Tang , Haijia Gui , Min zhang

In general, video games not only prevail in entertainment but also have become an alternative methodology for knowledge learning, skill acquisition and assistance for medical treatment as well as health care in education,…

人工智能 · 计算机科学 2019-08-28 Ke Chen