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

Abstract

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.