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The architecture of decision support system consists of three phases: Alert Preprocessing Phase, Model Constructing Phase and Rule Refining Phase.
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For the third data set, however, Piéron's Law does appear to simply arise out of the rise-to-threshold architecture of decision-making models.
We also emphasize the critical importance of social learning in adaptive management, achieved through periodic revisitation of the "architecture" of decision-making.
For each of the projects described above, the adaptive management process was designed to allow for a revisitation of the "architecture" of decision-making, including stakeholder involvement, management objectives and alternatives, the models used to project management consequences, and monitoring protocols.
Examining decision-making at the computational level thus provides a crucial link between the architecture of biological decision circuits and the form of empirical choice behavior.
Architecture of information decision support system is suggested.
The architecture of the decision support cockpit that will emerge from the integration of these tools is presented.
The aim of the paper is to describe the architecture of the Decision Support System (DSS), that is being developed within the FP7-Smartcities Project OPTIMUS (OPTimising the energy Use in cities with smart decision support system).
In a recent cover article titled "Nudge-ocracy," The New Republic examined the way "Nudge -type thiNudge -typech holds thinkingicymakers can improve people's choices by twhichng tholdsrchithature" of the decision — has policymakersll areas of the Obama administration's polican from the bankimprovelout peopleo its proposals on carbon emissions and health care.
Motivated by future application to the Lagoon of Sacca di Goro (Italy), this paper proposes the architecture of a Decision Support System (DSS) for the management of coastal lagoon areas characterized by shellfish farming and agriculture.
The optimization method has been applied to a simulated BSS that can be considered as a module of a wider real BSS thanks to the scalable architecture of the decision support system.
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