Computational Epistemology and e-Science: A New Way of Thinking [Book Review]

Minds and Machines 19 (4):557-567 (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 Computation   Epistemology   Extended mind   e-Science
Categories (categorize this paper)
Options
 Save to my reading list
Follow the author(s)
My bibliography
Export citation
Find it on Scholar
Edit this record
Mark as duplicate
Revision history Request removal from index
 
Download options
PhilPapers Archive


Upload a copy of this paper     Check publisher's policy on self-archival     Papers currently archived: 10,750
External links
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
Luciano Floridi (2002). Information Ethics. Philosophy in the Contemporary World 9 (1):39-45.

View all 11 references

Citations of this work BETA
Similar books and articles
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.
Paul Thagard (1998). Computation and the Philosophy of Science. In T. W. Bynum & J. Moor (eds.), The Digital Phoenix. Cambridge: Blackwell.
Mark Sprevak (2010). Computation and Cognitive Science. Studies in History and Philosophy of Science Part A 41 (3):223-226.
Franck Varenne (2010). Les simulations computationnelles dans les sciences sociales. Nouvelles Perspectives En Sciences Sociales 5 (2):17-49.
Analytics

Monthly downloads

Added to index

2011-01-09

Total downloads

17 ( #96,123 of 1,098,907 )

Recent downloads (6 months)

7 ( #33,671 of 1,098,907 )

How can I increase my downloads?

My notes
Sign in to use this feature


Discussion
Start a new thread
Order:
There  are no threads in this forum
Nothing in this forum yet.