David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
Learn more about PhilPapers
Minds and Machines 19 (4):557-567 (2009)
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||e-Science Epistemology Computation Extended mind|
|Categories||categorize this paper)|
Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
|Through your library|
References found in this work BETA
No references found.
Citations of this work BETA
David Casacuberta & Jordi Vallverdú (2013). E-Science and the Data Deluge. Philosophical Psychology 27 (1):1-15.
Similar books and articles
Vinod 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 (1998). Computation and the Philosophy of Science. In T. W. Bynum & J. Moor (eds.), The Digital Phoenix. Cambridge: Blackwell.
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. [REVIEW] Minds and Machines 19 (4):557-567.
Added to index2009-11-21
Total downloads19 ( #105,148 of 1,692,888 )
Recent downloads (6 months)3 ( #78,896 of 1,692,888 )
How can I increase my downloads?