Biology – Quantitative Biology – Quantitative Methods
Scientific paper
2006-05-16
Biology
Quantitative Biology
Quantitative Methods
submitted to Ecological Complexity 28 pages, 9 tables, 1 figure
Scientific paper
Scientists investigate the dynamics of complex systems with quantitative models, employing them to synthesize knowledge, to explain observations, and to forecast future system behavior. Complete specification of systems is impossible, so models must be simplified abstractions. Thus, the art of modeling involves deciding which system elements to include and determining how they should be represented. We view modeling as search through a space of candidate models that is guided by model objectives, theoretical knowledge, and empirical data. In this contribution, we introduce a method for representing process-based models that facilitates the discovery of models that explain observed behavior. This representation casts dynamic systems as interacting sets of processes that act on entities. Using this approach, a modeler first encodes relevant ecological knowledge into a library of generic entities and processes, then instantiates these theoretical components, and finally assembles candidate models from these elements. We illustrate this methodology with a model of the Ross Sea ecosystem.
Arrigo Kevin R.
Borrett Stuart R.
Bridewell W.
Langely P.
No associations
LandOfFree
A method for representing and developing process models does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with A method for representing and developing process models, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A method for representing and developing process models will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-490037