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Unpacking mental models through laboratory experiments
Author(s) -
Gary Michael Shayne,
Wood Robert E.
Publication year - 2016
Publication title -
system dynamics review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.491
H-Index - 57
eISSN - 1099-1727
pISSN - 0883-7066
DOI - 10.1002/sdr.1560
Subject(s) - unpacking , mental model , computer science , causal model , mental effort , psychology , management science , cognition , cognitive science , engineering , mathematics , philosophy , linguistics , statistics , neuroscience
This article summarizes the findings from three laboratory studies investigating the content of decision makers' mental models and the relationship between mental models and performance on microworld simulations.[Note 1. This article is based on the talk delivered at ...] We examine three different components of mental models: perceived causal relationships, high‐level strategies, and decision rules. The findings advance our understanding of the effects of different levels of complexity, different causal diagram presentations, and different learning paths on mental models and performance. Copyright © 2017 System Dynamics Society