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Project Description
The objective of this research is to develop a tool that can be used to
extract more relevant information from existing environmental deterministic
and stochastic models than would otherwise be possible using current approaches.
Decision-makers use models to examine systems and to predict system responses
to prescribed stimulants. The products of this research therefore, are directly
aimed at the users and developers of environmental models. Those who develop
deterministic and stochastic models may use the decision-making framework developed
in this research to guide them in building an interface between their models and the
user. Such an interface will enable the users to utilize the models more efficiently
and effectively when the models are used to explore how a system responds to a potential
action or set of actions. It is expected that the users desire to select the optimum
course of action either to maximize expected benefits or to minimize expected costs
while maintaining other state conditions.
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