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 modern 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.
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