Decision by sampling q

@inproceedings{Stewart2006DecisionBS,
  title={Decision by sampling q},
  author={Neil Stewart and Nick Chater and Gordon D. A. Brown},
  year={2006}
}
We present a theory of decision by sampling (DbS) in which, in contrast with traditional models, there are no underlying psychoeconomic scales. Instead, we assume that an attribute’s subjective value is constructed from a series of binary, ordinal comparisons to a sample of attribute values drawn from memory and is its rank within the sample. We assume that the sample reflects both the immediate distribution of attribute values from the current decision’s context and also the background, real… CONTINUE READING
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