The phrase "architecture of the decision" is correct and usable in written English.
It can be used when discussing the structure or framework that underlies a particular decision-making process.
Example: "The architecture of the decision was carefully designed to ensure that all relevant factors were considered before reaching a conclusion."
Alternatives: "framework of the decision" or "structure of the decision".
The architecture of the decision support cockpit that will emerge from the integration of these tools is presented.
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.
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.
The architecture of the decision engine governs where the engine is placed and how it operates.
The architecture of the decision engine has a significant impact on the scalability of a proposal, with centralised approaches not being able to scale on large data centres.
We describe the architecture of the ISMOP decision support system, focusing on the urgent computing scenario and its formal resource provisioning model.
The development of the physical model is further explained in Section 4. Figure 3 The architecture of the cognitive decision engine.
During a long subsequent career, involving work with UCLA's Shlomo Benartzi and others, Thaler has proposed mechanisms that will, as he and Harvard Law School's Cass Sunstein put it in their book Nudge, change the "choice architecture" of these decisions.
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.
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.
