Original Research

The complexity of science

H.P.P. (Hennie) Lótter
Koers - Bulletin for Christian Scholarship/Bulletin vir Christelike Wetenskap | Vol 64, No 4 | a515 | DOI: https://doi.org/10.4102/koers.v64i4.515 | © 1999 H.P.P. (Hennie) Lótter | This work is licensed under CC Attribution 4.0
Submitted: 20 December 1999 | Published: 20 December 1999

About the author(s)

H.P.P. (Hennie) Lótter, Department of Philosophy Rand Afrikaans University JOHANNESBURG

Full Text:

PDF (553KB)

Abstract

In this article an alternative philosophy of science based on ideas drawn from the study of complex adaptive systems is presented. As a result of the enormous expansion in scientific disciplines, and the number of scientists and scientific institutions in the twentieth century, I believe science can be characterised as a complex system. I want to interpret the processes of science through which scientists themselves determine what is regarded as good science. This characterisation of science as a complex system can supply an answer to the question why the sciences have been so successful in solving growing numbers of problems and correcting their own mistakes. I utilise components of complexity theory to explain and interpret science as a complex system. I first explain the concept of complexity in ordinary language. The explanation of science as a complex system starts with a definition of the basic rules guiding the behaviour of science as a complex system. Next, I indicate how various sciences have resulted through the implementation of these rules in the study of a specific aspect of reality. The explanation of the growth of science through evolutionary adaptation and learning forms the core o f the article.

Keywords

No related keywords in the metadata.

Metrics

Total abstract views: 881
Total article views: 1282

Reader Comments

Before posting a comment, read our privacy policy.

Post a comment (login required)

 

Crossref Citations

1. Evolution of a Technology Standard Alliance Based on an Echo Model Developed through Complex Adaptive System Theory
Hong Jiang, Chen Chen, Shukuan Zhao, Yuhao Wu, Yi Su
Complexity  vol: 2020  first page: 1  year: 2020  
doi: 10.1155/2020/8877424