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From the manufacturers' and patients' perspectives, decision processes also delay market entry and the availability of treatments [ 7].
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So, what can we do to understand their perspectives, decisions and actions?
Nonetheless, the evidence is not sufficiently nuanced to draw out different actor perspectives, decision-making contexts, or to differentiate between subtle or marked differences in opinion, nor the processes by which these differences may or may not be overcome in the decision-making process.
This work presents a general paradigm for multiple perspective decision making over time and under uncertainty.
This paper applies the Belief Desire–Intention (BDI) model of agents to UST to demonstrate the use of agent-oriented modeling to facilitate multiple perspective decision support.
In this paper we present the theoretical basis, architecture and design of a web-based multi-perspective decision support system (DSS) and an underlying decision multi-criteria decision framework that is consistent with security and decision theory.
In the transport sector, where change comes with inertia and investments are made with a long term perspective, decision makers need to consider how the future may look like in the very long term.
From an applied perspective, decision support systems, which deliver real-time information about pest and natural enemy populations, are an effective tool for delivering recommendations to strengthen biological control across space and time.
From a policy maker's perspective, decisions must be made by identifying and analyzing all important considerations.
From a cell assembly perspective, decisions and memory appear to be based on similar mechanisms.
From a medical perspective, decisions based on the best available scientific evidence is part of evidence-based medicine, a widely adopted practice in health-care systems worldwide.
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