Consensus in science

Stallinga Peter () and Khmelinskii Igor ()
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Stallinga Peter: Departamento de Engenharia Electrónica e Informática, Faculdade de Ciências e Tecnologia, Universidade do Algarve, Campus de Gambelas, 8005-139 Faro, Portugal
Khmelinskii Igor: Departamento de Química e Farmácia, Faculdade de Ciências e Tecnologia, Universidade do Algarve, Campus de Gambelas, 8005-139 Faro, Portugal

Monte Carlo Methods and Applications, 2015, vol. 21, issue 1, 69-76

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.

Keywords: Consensus analysis; cellular automata; Bayesian adjustment (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1515/mcma-2014-0008

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