Meta-level control architecture for massively multiagent simulations

Shohei Yamane*, Toru Ishida

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)


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. We propose a meta-scenario description language and a meta-level control architecture. 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, our proposed architecture does not lose scalability of massively multi-agent systems for some applications.

Original languageEnglish
Title of host publicationProceedings of the 2006 Winter Simulation Conference, WSC
Number of pages8
Publication statusPublished - 2006 Dec 1
Externally publishedYes
Event2006 Winter Simulation Conference, WSC - Monterey, CA, United States
Duration: 2006 Dec 32006 Dec 6

Publication series

NameProceedings - Winter Simulation Conference
ISSN (Print)0891-7736


Conference2006 Winter Simulation Conference, WSC
Country/TerritoryUnited States
CityMonterey, CA

ASJC Scopus subject areas

  • Software
  • Modelling and Simulation
  • Computer Science Applications


Dive into the research topics of 'Meta-level control architecture for massively multiagent simulations'. Together they form a unique fingerprint.

Cite this