Computational epistemology and e-science: A new way of thinking
Minds and Machines 19 (4) (2009)
| Abstract | Recent trends towards an e-Science offer us the opportunity to think about the specific epistemological changes created by computational empowerment in scientific practices. In fact, we can say that a computational epistemology exists that requires our attention. By ‘computational epistemology’ I mean the computational processes implied or required to achieve human knowledge. In that category we can include AI, supercomputers, expert systems, distributed computation, imaging technologies, virtual instruments, middleware, robotics, grids or databases. Although several authors talk about the extended mind and computational extensions of the human body, most of these proposals don’t analyze the deep epistemological implications of computer empowerment in scientific practices. At the same time, we must identify the principal concept for e-Science: Information . Why should we think about a new epistemology for e-Science? Because several processes exist around scientific information that require a good epistemological model to be understood. | |||||||||
| Keywords | No keywords specified (fix it) | |||||||||
| Categories | ||||||||||
| Options |
|
|||||||||
Download options| PhilPapers Archive |
Upload a copy of this paper Check publisher's policy on self-archival Papers currently archived: 5,664 |
| External links |
 |
| Through your library | Configure |
Similar books and articlesVinod Goel (1991). Notationality and the Information Processing Mind. Minds and Machines 1 (2):129-166.
Mark Sprevak (2010). Computation and Cognitive Science. Studies in History and Philosophy of Science Part A 41 (3):223-226.
Ann Johnson (2009). Modeling Molecules: Computational Nanotechnology as a Knowledge Community. Perspectives on Science 17 (2):pp. 144-173.
David J. Kijowski, Harry Dankowicz & Michael C. Loui (2013). Observations on the Responsible Development and Use of Computational Models and Simulations. Science and Engineering Ethics 19 (1):63-81.
Gualtiero Piccinini (2006). Computational Explanation in Neuroscience. Synthese 153 (3):343-353.
Paul Thagard (1986). Computational Models in the Philosophy of Science. PSA: Proceedings of the Biennial Meeting of the Philosophy of Science Association 1986:329 - 335.
Andrea Pozzali (2007). Can Tacit Knowledge Fit Into a Computer Model of Scientific Cognitive Processes? The Case of Biotechnology. Mind and Society 6 (2):211-224.
Jordi Vallverdú I. Segura (2009). Computational Epistemology and E-Science: A New Way of Thinking. Minds and Machines 19 (4):557-567.
Analytics
Monthly downloads |
Added to index2009-11-21Total downloads11 ( #99,458 of 549,013 )Recent downloads (6 months)0How can I increase my downloads? |
My notes
Discussion
