Multialternative Decision by Sampling: A Model of Decision Making Constrained by Process Data.

Sequential sampling of evidence, or evidence accumulation, has been implemented in a variety of models to explain a range of multialternative choice phenomena. But the existing models do not agree on what, exactly, the evidence is that is accumulated. They also do not agree on how this evidence is a...

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Publicado en:Psychological Review Vol. 125; no. 4; pp. 512 - 545
Autores principales: Takao Noguchi, Stewart, Neil
Formato: Artículo
Publicado: American Psychological Association Jul2018
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Jul2018
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      pub: American Psychological Association
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        10.1037/rev0000102
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        atl: Multialternative Decision by Sampling: A Model of Decision Making Constrained by Process Data.
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          Takao Noguchi
          Stewart, Neil
        affil:
          University College London
          University of Warwick
      su:
        Decision making
        Sampling (Process)
      sug:
        subj:
          Decision making
          Sampling (Process)
      keyword:
        attraction effect
        compromise effect
        evidence accumulation
        sequential sampling
        similarity effect
        attraction effect
        compromise effect
        evidence accumulation
        sequential sampling
        similarity effect
      ab: Sequential sampling of evidence, or evidence accumulation, has been implemented in a variety of models to explain a range of multialternative choice phenomena. But the existing models do not agree on what, exactly, the evidence is that is accumulated. They also do not agree on how this evidence is accumulated. In this article, we use findings from process-tracing studies to constrain the evidence accumulation process. With these constraints, we extend the decision by sampling model and propose the multialternative decision by sampling (MDbS) model. In MDbS, the evidence accumulated is outcomes of pairwise ordinal comparisons between attribute values. MDbS provides a quantitative account of the attraction, compromise, and similarity effects equal to that of other models, and captures a wider range of empirical phenomena than other models.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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