计算机应用 ›› 2011, Vol. 31 ›› Issue (01): 78-81.

• 第八届中国计算机图形学大会优秀论文 • 上一篇    下一篇

基于Q学习的虚拟人自适应感知系统建

洪渊1,刘箴2   

  1. 1. 宁波大学信息科学与工程学院
    2. 宁波大学信息科学与工程学院计算机系
  • 收稿日期:2010-07-12 修回日期:2010-08-29 发布日期:2011-01-12 出版日期:2011-01-01
  • 通讯作者: 刘箴
  • 基金资助:
    基于图形处理器的高性能计算;浙江省自然科学基金;宁波市自然科学基金

Modeling adaptive perception system of virtual human based on Q-learning

1,zhen liu   

  • Received:2010-07-12 Revised:2010-08-29 Online:2011-01-12 Published:2011-01-01
  • Contact: zhen liu
  • Supported by:
    ;Zhejiang Provincial Natural Science Foundation of China

摘要: 在现代计算机游戏的设计中,建立具有感知行为可信的虚拟人是至关重要的。以往的研究中,虚拟人的感知范围往往是固定的。提出了一种基于Q学习的虚拟人自适应感知模型,虚拟人可以通过对环境中感知对象的评价来动态确定感知范围,并在微机上实现了一个虚拟人找药的原型系统。实验结果表明,该模型能使虚拟人的感知行为具有可信性。

关键词: 虚拟人, 感知, 行为动画, Q学习

Abstract: In design of modern computer games, it’s very important to model a virtual human with believable perception behaviors. In previous researches, the range of a perception system is always unchangeable. An adaptive perception system based on Q-Learning is proposed, a virtual human confirms the range of a perception system dynamically according to his appraises to the objects in the environment. A demo system of a virtual human searching for specific herbs is realized on PC. The results show that the model can drive a virtual human to have believable perception behaviors.

Key words: Virtual human, Perception, behavior animation, Q-learning.