An experimental evaluation of the assumption of independence in multiversion programming
IEEE Transactions on Software Engineering
Computational philosophy of science
Computational philosophy of science
The invisible computer
The computational support of scientific discovery
International Journal of Human-Computer Studies - Special issue on Machine Discovery
Rise of the Network Society
Hyper/Text/Theory
HyperText and Cognition
Natural-Born Cyborgs: Minds, Technologies, and the Future of Human Intelligence
Natural-Born Cyborgs: Minds, Technologies, and the Future of Human Intelligence
Two Approaches to the Philosophy of Information
Minds and Machines
Principles of human-computer collaboration for knowledge discovery in science
Artificial Intelligence
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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.