Literature DB >> 14562867

SARA: a cognitive process model to simulate the anchoring effect and hindsight bias.

Rüdiger F Pohl1, Markus Eisenhauer, Oliver Hardt.   

Abstract

The cognitive process model "SARA" aims to explain the anchoring effect and hindsight bias by making detailed assumptions about the representation and alteration of item-specific knowledge. The model assumes that all processes, namely generating an estimate, encoding new information (i.e., the "anchor"), and reconstructing a previously generated estimate, are based on a probabilistic sampling process. Sampling probes long-term memory in order to retrieve information into working memory. Retrieval depends on the associative strength between this information and the currently active retrieval cues. Encoding the anchor may alter this associative pattern ("selective activation") or the anchor may serve as a retrieval cue, thus directing memory search ("biased reconstruction"). Both processes lead to systematically changed retrieval probabilities, thus causing the anchoring effect or hindsight bias. The model is completely formalised and implemented as a computer program. A series of simulations demonstrates the power of SARA to reproduce empirical findings and to predict new ones.

Entities:  

Mesh:

Year:  2003        PMID: 14562867     DOI: 10.1080/09658210244000487

Source DB:  PubMed          Journal:  Memory        ISSN: 0965-8211


  4 in total

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Authors:  Hartmut Blank; Jan H Peters
Journal:  Mem Cognit       Date:  2010-04

2.  Hindsight bias and developing theories of mind.

Authors:  Daniel M Bernstein; Cristina Atance; Andrew N Meltzoff; Geoffrey R Loftus
Journal:  Child Dev       Date:  2007 Jul-Aug

3.  Explaining individual differences in cognitive processes underlying hindsight bias.

Authors:  Alisha Coolin; Edgar Erdfelder; Daniel M Bernstein; Allen E Thornton; Wendy Loken Thornton
Journal:  Psychon Bull Rev       Date:  2015-04

4.  Can knowledge of election results change recall of our predictions? Neural correlates of political hindsight bias.

Authors:  Yin-Hua Chen; Hsu-Po Cheng; Yu-Wen Lu; Pei-Hong Lee; Georg Northoff; Nai-Shing Yen
Journal:  PLoS One       Date:  2019-10-10       Impact factor: 3.240

  4 in total

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