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至关重要,但在以往的感知模型中,虚拟人的感知范围往往是固定的。提出一种基于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。
In the design of modem computer games, it is very important to model a virtual human with credible perception behaviors. In the previous perception models, the range of a perception system is always unchangeable. Therefore, an adaptive perception system based on Q-learning was proposed, in which a virtual human could confirm the range of perception dynamically according to his appraises to the objects in the environment. A demo system of a virtual human searching for specific herbs was realized on a PC. The experimental results show that the model can drive a virtual human to have credible perception behaviors.
出处
《计算机应用》
CSCD
北大核心
2011年第1期78-81,共4页
journal of Computer Applications
基金
国家自然科学基金资助项目(60973099)
浙江省自然科学基金资助项目(Y1091158)
宁波市自然科学基金资助项目(2009A610088)
关键词
虚拟人
感知
行为动画
Q学习
virtual human
perception
behavior animation
Q-learning
