合成虚拟实体对象复合行为状态

实现行为合成要求行为必须可重用，且行为由虚拟实体对象自主控制。文中提出一种基于ＳＣＰ模型合成复杂行为的方法，通过引入三种分别表示行为状态的顺序执行、并行执行以及重复执行的合成算子进行行为状态的运算，来合成复杂行为，构成复合行为状态，并通过扩充的Ｐｅｔｒｉ网予以实现。合成算子的引入增强了ＳＣＰ模型对复杂行为的描述能力，有利于虚拟实体对象行为的重用，并为复杂行为合成和行为建模研究提供新的思路。

SYNTHESIZE COMPOUND BEHAVIOR STATUS

As the research of virtual reality develops, synthesizing complex behaviors becomes an important subject. However, there is a major obstacle with most existing the behavior models in the literature, the artifacts in these models can not behave autonomously. Hence behaviors are not inherently reusable. In this paper, we describe techniques for synthesizing compound behavior status in our cybernetics based behavior model SCP. Firstly, the behavior model SCP is briefly introduced. Its behavior structure is made up of three components, i.e., sensor, controller and performer, which work relatively independently. SCP also uses the concept of behavior template, thus behaviors can be defined outside any artifacts and easy to reuse. Secondly, three operators that represent sequential, parallel and repeated executions respectively are proposed as basic tools for synthesizing behaviors. Their semantics are given. Finally, the implementation details of the operators based on a kind of augmented Petri Nets are discussed. This kind of Petri Nets is evolved from the traditional place/transition nets through introducing a certain place to represent the repeated executions. It is proved that any compound behaviors synthesized using the three operators can be expressed by some semantic equivalent petri nets. These operators have been introduced to SCPL, a virtual artifact modeling language. The experiments show that the introduced operators can greatly strengthen the capability of SCPL in describing complex behaviors while reducing source codes at the same time.