• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Computational Intelligence and AI in Games, IEEE Transactions on >Extending Real-Time Challenge Balancing to Multiplayer Games: A Study on Eco-Driving
【24h】

Extending Real-Time Challenge Balancing to Multiplayer Games: A Study on Eco-Driving

机译：将实时挑战平衡扩展到多人游戏：生态驾驶研究

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Multiplayer games are an important and popular game mode for networked players. Since games are played by a diverse audience, it is important to scale the difficulty, or challenge, according to the skill level of the players. However, current approaches to real-time challenge balancing (RCB) in games are only applicable to single-player scenarios. In multiplayer scenarios, players with different skill levels may be present in the same area, and hence adjusting the game difficulty to match the skill of one player may affect the other players in an undesirable way. To address this problem, we have previously developed a new approach based on distributed constraint optimization, which achieves the optimal challenge level for multiple players in real-time. The main contribution of this paper is an experiment that was performed with our new multiplayer real-time challenge balancing method applied to eco-driving. The results of the experiment suggest the effectiveness of RCB.
机译：对于网络玩家来说，多人游戏是一种重要且流行的游戏模式。由于游戏是由不同的观众玩的，因此根据玩家的技能水平来衡量难度或挑战很重要。但是，当前游戏中实时挑战平衡（RCB）的方法仅适用于单人游戏场景。在多人游戏场景中，具有不同技能水平的玩家可能会出现在同一区域，因此调整游戏难度以匹配一个玩家的技能可能会以不希望的方式影响其他玩家。为了解决这个问题，我们之前已经开发了一种基于分布式约束优化的新方法，该方法可以实时为多个玩家提供最佳挑战级别。本文的主要贡献是使用我们应用于生态驾驶的新型多人实时挑战平衡方法进行的实验。实验结果表明了RCB的有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号