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In this paper, we consider both the modelling and optimization of preferences in problems of constraint-based temporal reasoning.
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It is unclear, however, how individual preferences in problem solving are reflected in the brain.
I believe that decision analysis is a very delicate, subtle tool that helps decision makers explore and come to understand their beliefs and preferences in the context of a particular problem.
Here we study preference contraction: the problem of discarding selected preferences.
The teachers' point of departure is the students' reasoning in combination with their own preferences in the main focus of the clinical problem.
In general, evidence of harm and evidence of effectiveness were presented in combination with information about preferences and problems concerning access to, and availability of, health services.
In economics, the revealed preference approach has been used to define preference in terms of choice.
Second, nested logistic models were built to investigate the mediating role of preferences in the educational gradient in smoking, with an econometric treatment of the rescaling problem.
This GDSS allows a team of decision makers to run one or several releases of ELECTRE and PROMETHEE methods of preference aggregation in order to deal with the problems of sorting, ranking and of electing the best candidate.
The first part of this endeavor is, in theory, a relatively straightforward research problem: studying preferences in humans, who are adept at both following instructions and interpreting pictorial stimuli, is in many ways easier than studying preferences in other species.
In addition to formal connections between the two types of aggregation problems, from a conceptual point of view judgment aggregation extends the problems of preference aggregation to more general decision problems.
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