## Abstract Practicing engineers resort to modular simulators or to algebraic tools such as GAMS or AMPL for performing complex process optimizations. These tools, however, have a significant learning curve unless they have been introduced at the undergraduate level beforehand. In this work we show
Minority influence and optimal problem solving
โ Scribed by Robin Martin; Miles Hewstone
- Publisher
- John Wiley and Sons
- Year
- 1999
- Tongue
- English
- Weight
- 105 KB
- Volume
- 29
- Category
- Article
- ISSN
- 0046-2772
No coin nor oath required. For personal study only.
โฆ Synopsis
An analogous thinking task was used to test Nemeth's ConvergentยฑDivergent theory of majority and minority inยฏuence. Participants read a (base) problem and one of three solutions (one of which is considered the best' solution). They then generated solutions to a second (target) problem which shared similar structural features to the ยฎrst problem. Due to the similarities between problems, the solution given to the ยฎrst problem can be used as an analogy in solving the second. In contrast to Nemeth's theory, when the solution to the base problem was endorsed by a numerical majority there was not an increase in analogy-transfer in solving the target problem. However, in support of Nemeth's theory, when the base solution was supported by a numerical minority then the participants were more likely to generate the best' solution to the target problem regardless of which base solution they were given.
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