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Consensus in science

Author

Listed:
  • 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)

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.

Suggested Citation

  • Stallinga Peter & Khmelinskii Igor, 2015. "Consensus in science," Monte Carlo Methods and Applications, De Gruyter, vol. 21(1), pages 69-76, March.
    • Handle: RePEc:bpj:mcmeap:v:21:y:2015:i:1:p:69-76:n:2
    DOI: 10.1515/mcma-2014-0008
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    References listed on IDEAS

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    2. Mina Bissell, 2013. "Reproducibility: The risks of the replication drive," Nature, Nature, vol. 503(7476), pages 333-334, November.
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