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The Right Tool for the Job ? Comparing an Evidence Accumulation and a Naive Strategy Selection Model of Decision Making
| Content Provider | Semantic Scholar |
|---|---|
| Author | Newell, Ben R. Lee, Michael D. |
| Copyright Year | 2009 |
| Abstract | Analyses of multi-attribute decision problems are dominated by accounts which assume people select from a repertoire of cognitive strategies to make decisions. This paper explores an alternative account based on sequential sampling and evidence accumulation. Two experiments varied aspects of a decision environment to examine competing models of decision behavior. The results highlighted the intra-participant consistency but inter-participant differences in the amount of evidence considered in decisions. This pattern was best captured by a sequential evidence accumulation model (SEQ) which treated pure Take-The-Best (TTB) and pure ‘‘rational’’ (RAT) models as special cases of a single model. The SEQ model was also preferred by the minimum description length (MDL) criterion to a naive strategy-selection model (NSS) which assumed that TTB or RAT could be selected with some probability for each decision. Copyright # 2010 John Wiley & Sons, Ltd. key words decision making; strategy selection; take-the-best; evidence accumulation; sequential sampling |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.socsci.uci.edu/~mdlee/NewellLee2011.pdf |
| Alternate Webpage(s) | http://www.socsci.uci.edu/~mdlee/NewellLee2009.pdf |
| Alternate Webpage(s) | http://www.socsci.uci.edu/~mdlee/NewellLee2010.pdf |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Assumed Copyright Decision Making Decision problem Experiment Genetic Selection John D. Wiley Minimum description length Numerous Sampling (signal processing) Tree accumulation |
| Content Type | Text |
| Resource Type | Article |
