Creativity in computer science

The aim of this paper is to briefly explore creative thinking in computer science, and compare it to natural sciences, mathematics or engineering. It is also meant as polemics with some theses of the pioneer work under the same title by Daniel Saunders and Paul Thagard because I point to important...

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Autor principal:	Piotr Giza
Formato:	article
Lenguaje:	EN
Publicado:	Vilnius Gediminas Technical University 2021
Materias:	artificial intelligence automated discovery systems communication analogy computer science creative society creativity Social sciences (General) H1-99
Acceso en línea:	https://doaj.org/article/55b8b0181be74c5bb5d9e980d3e34f89
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id	oai:doaj.org-article:55b8b0181be74c5bb5d9e980d3e34f89
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spelling	oai:doaj.org-article:55b8b0181be74c5bb5d9e980d3e34f892021-11-09T16:03:32ZCreativity in computer science10.3846/cs.2021.146992345-04792345-0487https://doaj.org/article/55b8b0181be74c5bb5d9e980d3e34f892021-11-01T00:00:00Zhttps://jest.vgtu.lt/index.php/CS/article/view/14699https://doaj.org/toc/2345-0479https://doaj.org/toc/2345-0487 The aim of this paper is to briefly explore creative thinking in computer science, and compare it to natural sciences, mathematics or engineering. It is also meant as polemics with some theses of the pioneer work under the same title by Daniel Saunders and Paul Thagard because I point to important motivations in computer science the authors do not mention, and give examples of the origins of problems they explicitly deny. Computer science is a very specific field for it relates the abstract, theoretical discipline – mathematics, on the one hand, and engineering, often concerned with very practical tasks of building computers, on the other. It is like engineering in that it is concerned with solving practical problems or implementing solutions, often with strongly financial reasons, e.g. increasing a company’s income. It is like mathematics in that is deals with abstract symbols, logical relations, algorithms, computability problems, etc. Saunders and Thagard analyse rich experimental material from historical and contemporary work in computer science and argue that, as opposed to natural sciences, computer science is not concerned with describing and explaining natural phenomena. Now, I argue that there is a field of research in artificial intelligence (which, in turn, is a branch of computer science), called machine discovery, where explanation of natural phenomena, finding experimental laws and explanatory models is the primary goal. This goal is achieved by constructing computer systems whose job is to simulate various processes involved in scientific discovery done by human researchers, and help them in making new discoveries. On the other hand, motivations that give rise to ingenious projects in computer science can be very strange and include curiosity, fun or attempts to be famous out of boring, stable life of a successful programmer in a big corporation. A good example is the phenomenon of open-source software, especially the development of the Linux operating system and its applications when, from economical point of view, Microsoft absolutely dominated the software market of personal computers. Piotr GizaVilnius Gediminas Technical Universityarticleartificial intelligenceautomated discovery systemscommunication analogycomputer sciencecreative societycreativitySocial sciences (General)H1-99ENCreativity Studies, Vol 14, Iss 2 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	artificial intelligence automated discovery systems communication analogy computer science creative society creativity Social sciences (General) H1-99
spellingShingle	artificial intelligence automated discovery systems communication analogy computer science creative society creativity Social sciences (General) H1-99 Piotr Giza Creativity in computer science
description	The aim of this paper is to briefly explore creative thinking in computer science, and compare it to natural sciences, mathematics or engineering. It is also meant as polemics with some theses of the pioneer work under the same title by Daniel Saunders and Paul Thagard because I point to important motivations in computer science the authors do not mention, and give examples of the origins of problems they explicitly deny. Computer science is a very specific field for it relates the abstract, theoretical discipline – mathematics, on the one hand, and engineering, often concerned with very practical tasks of building computers, on the other. It is like engineering in that it is concerned with solving practical problems or implementing solutions, often with strongly financial reasons, e.g. increasing a company’s income. It is like mathematics in that is deals with abstract symbols, logical relations, algorithms, computability problems, etc. Saunders and Thagard analyse rich experimental material from historical and contemporary work in computer science and argue that, as opposed to natural sciences, computer science is not concerned with describing and explaining natural phenomena. Now, I argue that there is a field of research in artificial intelligence (which, in turn, is a branch of computer science), called machine discovery, where explanation of natural phenomena, finding experimental laws and explanatory models is the primary goal. This goal is achieved by constructing computer systems whose job is to simulate various processes involved in scientific discovery done by human researchers, and help them in making new discoveries. On the other hand, motivations that give rise to ingenious projects in computer science can be very strange and include curiosity, fun or attempts to be famous out of boring, stable life of a successful programmer in a big corporation. A good example is the phenomenon of open-source software, especially the development of the Linux operating system and its applications when, from economical point of view, Microsoft absolutely dominated the software market of personal computers.
format	article
author	Piotr Giza
author_facet	Piotr Giza
author_sort	Piotr Giza
title	Creativity in computer science
title_short	Creativity in computer science
title_full	Creativity in computer science
title_fullStr	Creativity in computer science
title_full_unstemmed	Creativity in computer science
title_sort	creativity in computer science
publisher	Vilnius Gediminas Technical University
publishDate	2021
url	https://doaj.org/article/55b8b0181be74c5bb5d9e980d3e34f89
work_keys_str_mv	AT piotrgiza creativityincomputerscience
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Creativity in computer science

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