A First Study on Genetic Algorithms Based-Evolvable Motivation Model for Virtual Agents

In video games, it´s very important to model a virtual agent with motivation variables. In previous researches, a virtual agent´s motivation variables are always static. An evolvable motivation system for a virtual agent is set up, priority sequence of an agent´s behaviors is decided by the priority sequence of its motivations, the priority sequences of an agent´s motivations are determined by genetic algorithms, the demo system shows that virtual agents can adapt to the environment better.