Space Transformation of Small-Cultural Service Complex Based on Finite State Machine

Abstract

The variety of cultural activity spatial transformation methods based on finite state machines (FSM) are proposed to solve the problem of activity spatial transformations within a limited time. In this paper, we first investigate and extract the spatial characteristics of each activity in the SCSC, and establish a mathematical model. Then, we use the decision tree (DT) method to classify the various activity spaces and build a hierarchical FSM model based on the classification results. Finally, we conduct simulation experiments to verify the feasibility of the FSM model of the active spaces.