Metal-Level Control Architecture for Massively Multiagent Simulations

Various situations in a massively multi-agent simulation will emerge in a simulation or the period of the simulation will become too long. These situations cause problems for system operators in that each action scenario becomes too complex to maintain and a simulation costs very long time. Therefore, flexible control of the simulation, such as changing simulation speed and switching agents´ action scenarios, is required. A meta-scenario description language and a meta-level control architecture are proposed. The meta-scenario description language describes how to control simulations and agents based on an extended finite state machine. Meta-level control architecture achieves control on the basis of meta-scenarios provided by a meta-scenario interpreter, which controls interpreters of agents´ action scenarios and the simulation environment. In addition, the proposed architecture does not lose scalability of massively multi-agent systems for some applications