A Designing Method of Simulation Software for Chinese Train Control System Based on Hybrid Software Agent Model

Chinese train control system (CTCS) is one of real-time distributed supervising and control systems that have the distributed physical entities needing cooperation to accomplish their local goal, make possible decisions, execute actions, negotiate through the communication protocol to reach global criterion. For designing CTCS simulation software, the hybrid software agent model that is adapted to other distributed supervising and control systems is developed on the basis of deliberative and reactive agent concepts and we discuss the interesting characteristics of this model. The proposed designing method for CTCS level 4 as MAS mainly involves building an ontology model by using UML, specifying interaction protocols formally by Petri net and determining the real-time and deliberative behavioral rules based on the ontology. The reactive memory is introduced to the model for guaranteeing to respond urgent events in real-time. The deliberative part of agent model enables it to do complex tasks based on agent's mental states and input events