| It divides environment into two states: real-environment and unreal-environment, or pseudo-environment in this thesis. Pseudo-environment is subdivided into medium environment prompted by medium and psychology environment set up by audiences. Medium environment and psychology environment have both unreal mimic features by nature. Medium environment is the direct reflection of real-environment; psychology environment, in turn, is the direct reflection of medium environment, though neither is mechanical reflection, but reorganized by the subject. In the view of system approach, pseudo-environment is an open system including medium environment, psychology environment, medium and audiences. A relation of interaction exists between the real-environment and pseudo-environment, and also between medium environment and psychology environment. Therefore, as for the overall optimization of pseudo-environment, it should be considered as a system as a whole. First, as optimization consists of the evolution of the system itself and artificial optimization, the overall optimization is the optical enhancement of the positive aspect of the pseudo-environment system itself. Secondly, optimization is the optimization of both medium environment and psychology environment, that is to say, both should be optimized, either neglected. Thirdly, the optimization of medium and audiences is also an integral part. The ultimate objective of the optimization of pseudo-environment is to optimize to some extent the real-environment by the interaction between the real-environment and pseudo-environment. |