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Computing as Empirical Science – Evolution of a Concept

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Open Access
|Mar 2017

Abstract

This article presents the evolution of philosophical and methodological considerations concerning empiricism in computer/computing science. In this study, we trace the most important current events in the history of reflection on computing. The forerunners of Artificial Intelligence H.A. Simon and A. Newell in their paper Computer Science As Empirical Inquiry (1975) started these considerations. Later the concept of empirical computer science was developed by S.S. Shapiro, P. Wegner, A.H. Eden and P.J. Denning. They showed various empirical aspects of computing. This led to a view of the science of computing (or science of information processing) - the science of general scope. Some interesting contemporary ways towards a generalized perspective on computations were also shown (e.g. natural computing).

DOI: https://doi.org/10.1515/slgr-2016-0055 | Journal eISSN: 2199-6059 | Journal ISSN: 0860-150X
Language: English
Page range: 49 - 69
Published on: Mar 16, 2017
Published by: University of Białystok, Department of Pedagogy and Psychology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year
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© 2017 Paweł Polak, published by University of Białystok, Department of Pedagogy and Psychology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.