Computing as a Science: A Survey of Competing Viewpoints [Book Review]
David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Minds and Machines 21 (3):361-387 (2011)
Since the birth of computing as an academic discipline, the disciplinary identity of computing has been debated fiercely. The most heated question has concerned the scientific status of computing. Some consider computing to be a natural science and some consider it to be an experimental science. Others argue that computing is bad science, whereas some say that computing is not a science at all. This survey article presents viewpoints for and against computing as a science. Those viewpoints are analyzed against basic positions in the philosophy of science. The article aims at giving the reader an overview, background, and a historical and theoretical frame of reference for understanding and interpreting some central questions in the debates about the disciplinary identity of computer science. The article argues that much of the discussion about the scientific nature of computing is misguided due to a deep conceptual uncertainty about science in general as well as computing in particular.
|Keywords||Computer science Computing as a discipline History of computer science Philosophy of computer science|
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References found in this work BETA
Thomas S. Kuhn (1996/2012). The Structure of Scientific Revolutions. University of Chicago Press.
Herbert A. Simon (1969). The Sciences of the Artificial. [Cambridge, M.I.T. Press.
Citations of this work BETA
Viola Schiaffonati & Mario Verdicchio (2014). Computing and Experiments. Philosophy and Technology 27 (3):359-376.
Nicola Angius (2013). Abstraction and Idealization in the Formal Verification of Software Systems. Minds and Machines 23 (2):211-226.
Viola Schiaffonati (forthcoming). Stretching the Traditional Notion of Experiment in Computing: Explorative Experiments. Science and Engineering Ethics:1-19.
J. Ignacio Serrano, M. Dolores del Castillo & Manuel Carretero (2014). Cognitive? Science? Foundations of Science 19 (2):115-131.
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