Resource-aware exploration of the emergent dynamics of simulated systems

The emerging science of simulation enables us to explore the dynamics of large and complex systems even if a formal representation and analysis of the system is intractable and a construction of a real-world instantiation for the purpose of experimentation is too expensive. A computer simulation model can be run for many more configurations and the accumulated observations deepen our understanding of the system’s operation, but it is very important that we have tools that help us manage the huge numbers of experiments that need to be run and the massive data sets that are collected. Furthermore, as we explore vast parameter spaces of simulation model, we need guidance in finding regions of interest in a resource efficient way. In this paper we use a model of agent-based graph coloring to introduce a software infrastructure for the systematic execution of experiments across large regions of parameter space (parameter sweep). Furthermore, we present a multi-agent system that searches ...

• Type: Conference
• Year: 2003
• Where: ATAL
• Authors: Sven Brueckner, H. Van Dyke Parunak
• Keywords: ATAL 2003, Parameter Space, Simulation Model, Vast Parameter Spaces