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A descriptive multi-attribute utility model for everyday decisions

机译:用于日常决策的描述性多属性效用模型

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We propose a descriptive version of the classical multi-attribute utility model; to that end, we add a new parameter, momentary salience, to the customary formulation. The addition of this parameter allows the theory to accommodate changes in the decision maker's mood and circumstances, as the saliencies of anticipated consequences are driven by concerns of the moment. By allowing for the number of consequences given attention at the moment of decision to vary, the new model mutes the criticism that SEU models call for an omniscient decision maker. Use of the model is illustrated with a large-scale longitudinal study showing that adolescent smokers have higher utility for smoking than nonsmokers. We also propose to use the model hierarchically to describe everyday decisions that people deal with repeatedly. Big decisions, which set policy, guide a host of nested little decisions, which in turn lead to action. For a little decision, one of the options will be consistent with the policy, and will inherit its high utility. Accordingly, most little decisions will be made quickly and will follow the policy. However, people do sometimes decide to violate their own policies, and we describe how these lapses can lead to collapse of the policy.
机译:我们提出经典多属性效用模型的描述性版本;为此,我们在惯用公式中添加了一个新参数,即瞬时显着性。该参数的增加使理论能够适应决策者的情绪和环境的变化,因为预期后果的显着性是由当下的担忧所驱动。通过允许在决策时关注的后果数量有所变化,新模型消除了SEU模型要求无所不知的决策者的批评。大规模的纵向研究说明了该模型的使用,该研究表明,青少年吸烟者比不吸烟者具有更高的吸烟效用。我们还建议使用模型分层描述人们反复处理的日常决策。制定政策的大决策会引导许多嵌套的小决策,进而导致采取行动。稍作决定,这些选项之一将与该策略保持一致,并将继承其高实用性。因此,几乎没有什么决定会很快做出,并且会遵循该政策。但是,人们有时确实会决定违反自己的政策,我们将描述这些失误如何导致政策崩溃。

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