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Consensus in science
-
Peter Stallinga
and
Igor Khmelinskii
Published/Copyright:
February 14, 2015
Abstract
The biggest argument in some areas of science is the existence of a consensus. However, on top of it being a non-scientific argument, it is easy to show how a consensus naturally evolves in modern research environments. In this paper we demonstrate analytically and by cellular automata how a consensus is obtained. Important conclusions are that a consensus is not necessarily representing the truth and, once established, can never change anymore.
Received: 2014-4-28
Accepted: 2014-12-23
Published Online: 2015-2-14
Published in Print: 2015-3-1
© 2015 by De Gruyter
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Articles in the same Issue
- Frontmatter
- Functional quantization-based stratified sampling methods
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- Bayesian beta regression models with joint mean and dispersion modeling
- DSMC method for a two-dimensional flow with a gravity field in a square cavity
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