IEEE Transactions on Games最新文献_第8页

IEEE Computational Intelligence Society Information 电气和电子工程师学会计算智能学会信息

IF 2.3 4区计算机科学

IEEE Transactions on Games Pub Date : 2023-12-15 DOI: 10.1109/TG.2023.3340071

引用次数: 0

Call for Papers—IEEE Transactions on Games Special Issue on Computer Vision and Games 征稿启事--《IEEE 游戏论文集》计算机视觉与游戏特刊

IF 2.3 4区计算机科学

IEEE Transactions on Games Pub Date : 2023-12-15 DOI: 10.1109/TG.2023.3338828

引用次数: 0

RaidEnv: Exploring New Challenges in Automated Content Balancing for Boss Raid Games RaidEnv：探索自动平衡 Boss Raid 游戏内容的新挑战

IF 1.7 4区计算机科学

IEEE Transactions on Games Pub Date : 2023-11-28 DOI: 10.1109/TG.2023.3335399

Hyeon-Chang Jeon;In-Chang Baek;Cheong-mok Bae;Taehwa Park;Wonsang You;Taegwan Ha;Hoyoun Jung;Jinha Noh;Seungwon Oh;Kyung-Joong Kim

{"title":"RaidEnv: Exploring New Challenges in Automated Content Balancing for Boss Raid Games","authors":"Hyeon-Chang Jeon;In-Chang Baek;Cheong-mok Bae;Taehwa Park;Wonsang You;Taegwan Ha;Hoyoun Jung;Jinha Noh;Seungwon Oh;Kyung-Joong Kim","doi":"10.1109/TG.2023.3335399","DOIUrl":"10.1109/TG.2023.3335399","url":null,"abstract":"The balance of game content significantly impacts the gaming experience. Unbalanced game content diminishes engagement or increases frustration because of repetitive failure. Although game designers intend to adjust the difficulty of game content, this is a repetitive, labor-intensive, and challenging process, especially for commercial-level games with extensive content. To address this issue, the game research community has explored automated game balancing using artificial intelligence (AI) techniques. However, previous studies have focused on limited game content and did not consider the importance of the generalization ability of play-testing agents when encountering content changes. In this study, we propose RaidEnv, a new game simulator that includes diverse and customizable content for the boss raid scenario in the MMORPG games. In addition, we design two benchmarks for the boss raid scenario that can aid in the practical application of game AI. These benchmarks address two open problems in automatic content balancing (ACB), and we introduce two evaluation metrics to provide guidance for AI in ACB. This novel game research platform expands the frontiers of automatic game balancing problems and offers a framework within a realistic game production pipeline. The open-source environment is available at a GitHub repository.","PeriodicalId":55977,"journal":{"name":"IEEE Transactions on Games","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10330736","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142218214","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Examination of the Hidden Judging Criteria in the Generative Design in Minecraft Competition 对 "Minecraft 中的生成设计 "竞赛中隐藏的评判标准的研究

IF 1.7 4区计算机科学

IEEE Transactions on Games Pub Date : 2023-11-07 DOI: 10.1109/TG.2023.3329763

Jean-Baptiste Hervé;Christoph Salge;Henrik Warpefelt

引用次数: 0

MDDP: Making Decisions From Different Perspectives in Multiagent Reinforcement Learning MDDP：在多代理强化学习中从不同角度做出决策

IF 1.7 4区计算机科学

IEEE Transactions on Games Pub Date : 2023-11-01 DOI: 10.1109/TG.2023.3329376

Wei Li;Ziming Qiu;Shitong Shao;Aiguo Song

{"title":"MDDP: Making Decisions From Different Perspectives in Multiagent Reinforcement Learning","authors":"Wei Li;Ziming Qiu;Shitong Shao;Aiguo Song","doi":"10.1109/TG.2023.3329376","DOIUrl":"10.1109/TG.2023.3329376","url":null,"abstract":"Multiagent reinforcement learning (MARL) has made remarkable progress in recent years. However, in most MARL methods, agents share a policy or value network, which is easy to result in similar behaviors of agents, and thus, limits the flexibility of the method to handle complex tasks. To enhance the diversity of agent behaviors, we propose a novel method, making decisions from different perspectives (MDDP). This method enables agents to switch flexibly between different policy roles and make decisions from different perspectives, which can improve the adaptability of policy learning in complex scenarios. Specifically, in MDDP, we design a new self-attention and gated recurrent unit (GRU)-based dueling architecture network (SG-DAN) to estimate the individual \u0000<inline-formula><tex-math>$Q$</tex-math></inline-formula>\u0000-values. SG-DAN contains two components: 1) the new self-attention-based role-switching network (SAR) and the capable GRU-based state value estimation network (GSE). SAR takes charge of action advantage estimation and GSE is responsible for state value estimation. Experimental results on the challenging \u0000<italic>StarCraft\u0000 II micromanagement benchmark not only verify the modeling reasonability of MDDP but also demonstrate its performance superiority over the related advanced approaches.","PeriodicalId":55977,"journal":{"name":"IEEE Transactions on Games","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134884087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

VESPA: A General System for Vision-Based Extrasensory Perception Anticheating in Online FPS Games VESPA：在线 FPS 游戏中基于视觉的超感知反切通用系统

IF 1.7 4区计算机科学

IEEE Transactions on Games Pub Date : 2023-10-24 DOI: 10.1109/TG.2023.3327115

Shiwei Zhao;Jiaheng Qi;Zhipeng Hu;Han Yan;Runze Wu;Xudong Shen;Tangjie Lv;Changjie Fan

引用次数: 0

Evaluating the Influence of Imperfect Information in Geister Using DREAM Trained Agents 利用 DREAM 训练代理评估 Geister 中不完美信息的影响

IF 1.7 4区计算机科学

IEEE Transactions on Games Pub Date : 2023-10-16 DOI: 10.1109/TG.2023.3324737

Lucien Troillet;Kiminori Matsuzaki

引用次数: 0

Tracking Early Differences in Tetris Performance Using Eye Aspect Ratio Extracted Blinks 利用提取的眼睛眨眼长宽比跟踪俄罗斯方块表现的早期差异

IF 1.7 4区计算机科学

IEEE Transactions on Games Pub Date : 2023-10-13 DOI: 10.1109/TG.2023.3324511

Gianluca Guglielmo;Michal Klincewicz;Elisabeth Huis in ‘t Veld;Pieter Spronck

{"title":"Tracking Early Differences in Tetris Performance Using Eye Aspect Ratio Extracted Blinks","authors":"Gianluca Guglielmo;Michal Klincewicz;Elisabeth Huis in ‘t Veld;Pieter Spronck","doi":"10.1109/TG.2023.3324511","DOIUrl":"10.1109/TG.2023.3324511","url":null,"abstract":"This study aimed to evaluate if eye blinks can be used to discriminate players with different performance in a session of Nintendo Entertainment System \u0000<italic>Tetris\u0000. To that end, we developed a state-of-the-art method for blink extraction from eye aspect ratio measures, which is robust enough to be used with data collected by a low-grade webcam such as the ones widely available on laptop computers. Our results show a significant decrease in blink rate per minute (blinks/m) during the first minute of playing \u0000<italic>Tetris\u0000. After having defined three groups of proficiency based on in-game performance (novices, intermediates, and experts) we found out that expert players display a significantly lower decrease in blinks/m compared to novices during the first minute of gameplay, which shows that \u0000<italic>Tetris\u0000 players’ proficiency can be detected by looking at eye blinks/m variations during the early phase of a game session. This difference in blinks/m is observed throughout the entire game session, which supports the general conclusion that proficient \u0000<italic>Tetris\u0000 players have a lower decrease in blinks/m, even when playing more difficult levels. Finally, we offer some interpretations of this effect and the relationship that our results may have with the visual cognitive workload experienced during the gameplay.","PeriodicalId":55977,"journal":{"name":"IEEE Transactions on Games","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136302129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Considerations and Concerns of Professional Game Composers Regarding Artificially Intelligent Music Technology 专业游戏作曲家对人工智能音乐技术的考虑和担忧

IF 1.7 4区计算机科学

IEEE Transactions on Games Pub Date : 2023-09-25 DOI: 10.1109/TG.2023.3319085

Kyle Worrall;Tom Collins

{"title":"Considerations and Concerns of Professional Game Composers Regarding Artificially Intelligent Music Technology","authors":"Kyle Worrall;Tom Collins","doi":"10.1109/TG.2023.3319085","DOIUrl":"10.1109/TG.2023.3319085","url":null,"abstract":"Artificially intelligent music technology (AIMT) is a promising field with great potential for creating innovation in music. However, the considerations and concerns surrounding AI-generated music from the perspective of professional video game composers have yet to be fully explored. In this study, 11 professional video game composers were interviewed to determine how they feel about AIMT and how this informs future research and tool design within the games industry. The interviews were analyzed using a reflexive thematic analysis to identify key themes. The study found that while composers recognize the benefits of music AI, they have complex concerns beyond the obvious concerns of AI infringing on their agency and creativity. There is an inherent clash between the creative ego and music AI, which can make it difficult for composers to embrace this technology. Furthermore, a lack of standard technical knowledge, support, understanding, and trust in music AI is impeding tool use within the industry. These findings have implications for music AI researchers and industry practitioners. By better understanding the concerns and considerations of professional creatives, researchers can design and communicate their tools more effectively to music professionals. Moreover, this study lays the foundation for empirical research into the relationship between professional creatives and emerging AI technology—a topic that is underemphasized in current research.","PeriodicalId":55977,"journal":{"name":"IEEE Transactions on Games","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2023-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135699102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Profiling and Identifying Smurfs or Boosters on Dota 2 Using K-Means and IQR 使用 K-Means 和 IQR 分析和识别 Dota 2 中的蓝精灵或助推器

IF 1.7 4区计算机科学

IEEE Transactions on Games Pub Date : 2023-09-22 DOI: 10.1109/TG.2023.3317053

Ying-Jih Ding;Wun-She Yap;Kok-Chin Khor

{"title":"Profiling and Identifying Smurfs or Boosters on Dota 2 Using K-Means and IQR","authors":"Ying-Jih Ding;Wun-She Yap;Kok-Chin Khor","doi":"10.1109/TG.2023.3317053","DOIUrl":"10.1109/TG.2023.3317053","url":null,"abstract":"<italic>Dota 2\u0000 is one popular multiplayer online battle arena game, and it holds the grandest e-sports tournament in the world—The International. However, smurfs and boosters are plaguing the game, causing a continuous decline in the player count. Smurfs are skilled players who stomp less experienced players, while boosters are paid to improve players’ rank. At this stage, the developers have brought updates on smurf detection based on players’ complaints, where smurf accounts are likely to be prevented from entering the game. This article proposes a smurf or booster detection among the players by profiling and identifying them based on statistical differences in features. Initially, we created a dataset with player data collected from the OpenDota API. Then, K-means was used to group and profile the players. Subsequently, the interquartile range method was applied to the high-performing players to identify the smurfs or boosters. We then invited three \u0000<italic>Dota 2\u0000 game experts to review the resulting profiles. A 95% accuracy score was achieved using majority voting. The methodology proposed in this article can be implemented in the \u0000<italic>Dota 2\u0000 to detect smurfs or boosters automatically. The findings in this article shall contribute to prolonging the game's life span.","PeriodicalId":55977,"journal":{"name":"IEEE Transactions on Games","volume":null,"pages":null},"PeriodicalIF":1.7,"publicationDate":"2023-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135649570","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0