@inproceedings{brueckner03a,
  author =	 {Sven A. Brueckner and H. Van Dyke Parunak},
  title =	 {Resource-aware exploration of the emergent dynamics
                  of simulated systems},
  booktitle =	 {Proceedings of the second international joint
                  conference on Autonomous agents and multiagent
                  systems},
  year =	 2003,
  pages =	 {781--788},
  location =	 {Melbourne, Australia},
  doi =		 {10.1145/860575.860701},
  publisher =	 {ACM Press},
  abstract =	 {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 large parameter
                  spaces automatically for regions of interest
                  specified by a fitness function. The fitness
                  function captures the researcher s interest in
                  certain system dynamics. We specify a function that
                  searches for overlap regions that accompany phase
                  changes in the simulation model. The agents search
                  the parameter space by executing simulation
                  experiments in regions of high fitness. As a
                  consequence, the use of computational resources is
                  minimized.},
  keywords =     {multiagent modeling},
  url =		 {http://jmvidal.cse.sc.edu/library/brueckner03a.pdf},
  comment =	 {masrg},
  googleid = 	 {5b8wThmHq8oJ:scholar.google.com/},
  cluster = 	 {14603914759434715109}
}