In a dynamic simulation game portraying a multiplier-accelerator problem, there are major differences between high and low performers; high performers voice specific concerns for future states of the system, while low performers are less likely to think about the future. Planning, especially incorporating the deceptive nature of feedback, is necessary in systems that exhibit diverging long and short term behaviors. A comparison of game results with written reports show that there is a positive relationship between performance and understanding of the game. These results are contrary to previous research where performance and understanding have been unrelated (Broadbent et al. 1978, 1986), but can be explained by the added complexity of non-linear feedback tasks with shifts in loop dominance. Such tasks are, in contrast to simple regression models, non-routine and therefore verbal and behavior aspects of decision makers' mental models correspond.

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Date created

• 1989

Type

• Document

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• Processing documentation available at: https://wiki.albany.edu/display/SCA/Processing+Ingested+Digital+Files

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• Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International

  
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ITEM CONTEXT

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a656a490ae4bb95659d385b98804153f

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Part of

23d738ba88f8333bc39725f9cb5bd0b8

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229aea09844305a482784be9fca550ff

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Collection

System Dynamic Society Records

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Collecting area

• This collection is part of the University Archives