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首页> 外文会议>International Symposium on Knowledge and Systems Sciences(KSS2004); 20041110-12; Ishikawa(JP) >Intelligent Agents in Computer Games using Bayesian Networks
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Intelligent Agents in Computer Games using Bayesian Networks

机译：使用贝叶斯网络的计算机游戏中的智能代理

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摘要

Nowadays, when almost the games have reached a fairy high level of graphics, Al is the main factor that classifies a better game from the rest. In this paper, we introduce some advance methods in making AI agents using the Bayesian networks technology. First, we would like to show how to make an adaptive agent in computer games using Bayesian Networks. The basic idea to make an adaptive agent is we let the agent to have the capability to adapt to different situations by learning from his past experience so that he can exhibit different behaviors based on his experience and observations about the game. With an adaptive agent, the variations of the game will be significantly improved. Next, we describe another advance method of Bayesian Networks for modeling an agent that can predict the thinking of his opponents in order to defeat them. In this method, we propose a new modeling language that is called as Dynamic Inheritance Influence Diagram for modeling and implementing advance AI agents with the support of Hugin API.
机译：如今，当几乎所有游戏都达到惊人的图形水平时，A1是将其他游戏归类为更好游戏的主要因素。在本文中，我们介绍了使用贝叶斯网络技术制作AI代理的一些先进方法。首先，我们想展示如何使用贝叶斯网络在计算机游戏中制作自适应代理。制作适应性Agent的基本思想是，让Agent具有从过去的经验中学习的能力，以适应不同的情况，以便他可以根据自己的经验和对游戏的观察展示不同的行为。使用自适应代理，可以显着改善游戏的变化。接下来，我们描述贝叶斯网络的另一种先进方法，该方法用于对可预测对手思想以击败对手的代理进行建模。在这种方法中，我们提出了一种新的建模语言，称为动态继承影响图，用于在Hugin API的支持下建模和实现高级AI代理。

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