Computing as a Science: A Survey of Competing Viewpoints [Book Review]
Graduate studies at Western
Minds and Machines 21 (3):361-387 (2011)
|Abstract||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|
|Categories||categorize this paper)|
|Through your library||Configure|
Similar books and articles
Lynette Hunter (1999). Critiques of Knowing: Situated Textualities in Science, Computing, and the Arts. Routledge.
Gordana Dodig-Crnkovic (2003). Shifting the Paradigm of Philosophy of Science: Philosophy of Information and a New Renaissance. [REVIEW] Minds and Machines 13 (4):521-536.
Zenon W. Pylyshyn (1989). Computing and Cognitive Science. In Michael I. Posner (ed.), Foundations of Cognitive Science. MIT Press.
Gheorghe Paun & Mario J. Pérez-Jiménez (2003). Recent Computability Models Inspired From Biology: DNA and Membrane Computing. Theoria 18 (1):71-84.
Gualtiero Piccinini (2007). Computing Mechanisms. Philosophy of Science 74 (4):501-526.
R. B. Patel & B. P. Singh (eds.) (2011). 2nd International Conference on Methods and Models in Science and Technology (Icm2st-11), Jaipur, India, 19-20 November 2011. [REVIEW] American Institute of Physics.
Uri Pincas (2011). Program Verification and Functioning of Operative Computing Revisited: How About Mathematics Engineering? [REVIEW] Minds and Machines 21 (2):337-359.
Klaus R. Scherer, Tanja Bänziger & Etienne Roesch (eds.) (2010). A Blueprint for Affective Computing: A Sourcebook and Manual. OUP Oxford.
Peter Kugel (2002). Computing Machines Can't Be Intelligent (...And Turing Said So). Minds and Machines 12 (4):563-579.
Derek Partridge (1995). On the Difficulty of Really Considering a Radical Novelty. Minds and Machines 5 (3):391-410.
P. Thagard (2004). Computing in the Philosophy of Science. In L. Floridi (ed.), The Blackwell Guide to the Philosophy of Computing and Information. Blackwell.
Anthony F. Beavers (2011). Recent Developments in Computing and Philosophy. Journal for General Philosophy of Science 42 (2):385-397.
Added to index2011-06-06
Total downloads20 ( #68,300 of 739,352 )
Recent downloads (6 months)1 ( #61,538 of 739,352 )
How can I increase my downloads?