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Formalizing Heuristics in Decision-Making: A Quantum Probability Perspective
| Content Provider | Semantic Scholar |
|---|---|
| Author | Pothos, Emmanuel M. Busemeyer, Jerome R. |
| Copyright Year | 2011 |
| Abstract | One of the most influential research programs in psychology is that of Tversky and Kahneman's (1973, 1983) on heuristics and biases in decision-making. Two characteristics of this program are, first, compelling empirical demonstrations that in some decision-making situations naive observers violate the rules of classic probability (CP) theory and, second, that corresponding behavior can be explained with simple heuristics. Tversky and Kahneman's work has led to a vast literature on what is the basis for psychological process in decision-making. Note that their work, however impactful, has not settled the debate of whether CP theory is suitable for modeling cognition or not. CP models have attracted enormous interest and they often do provide excellent coverage of cognitive processes (e.g., Oaksford and Chater, 2007; Griffiths et al., 2010; Tenenbaum et al., 2011). |
| File Format | PDF HTM / HTML |
| DOI | 10.3389/fpsyg.2011.00289 |
| PubMed reference number | 22121355 |
| Journal | Medline |
| Volume Number | 2 |
| Alternate Webpage(s) | http://journal-cdn.frontiersin.org/article/11504/files/pubmed-zip/versions/2/pdf |
| Alternate Webpage(s) | https://doi.org/10.3389/fpsyg.2011.00289 |
| Journal | Front. Psychology |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |