David Bourget (Western Ontario)
David Chalmers (ANU, NYU)
Rafael De Clercq
Jack Alan Reynolds
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Foundations of Science 12 (4):337-366 (2007)
The “DNA is a program” metaphor is still widely used in Molecular Biology and its popularization. There are good historical reasons for the use of such a metaphor or theoretical model. Yet we argue that both the metaphor and the model are essentially inadequate also from the point of view of Physics and Computer Science. Relevant work has already been done, in Biology, criticizing the programming paradigm. We will refer to empirical evidence and theoretical writings in Biology, although our arguments will be mostly based on a comparison with the use of differential methods (in Molecular Biology: a mutation or alike is observed or induced and its phenotypic consequences are observed) as applied in Computer Science and in Physics, where this fundamental tool for empirical investigation originated and acquired a well-justified status. In particular, as we will argue, the programming paradigm is not theoretically sound as a causal(as in Physics) or deductive(as in Programming) framework for relating the genome to the phenotype, in contrast to the physicalist and computational grounds that this paradigm claims to propose.
|Keywords||Genome Programming theory Differential methods in Physics and Biology System Biology|
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References found in this work BETA
Gerald M. Edelman & Giulio Tononi (2000). A Universe of Consciousness: How Matter Becomes Imagination. Basic Books.
Gottlob Frege (1953/1968). The Foundations of Arithmetic. Evanston, Ill.,Northwestern University Press.
H. P. Barendregt (1984). The Lambda Calculus: Its Syntax and Semantics. Sole Distributors for the U.S.A. And Canada, Elsevier Science Pub. Co..
Peter J. Beurton, Raphael Falk & Hans-Jörg Rheinberger (eds.) (2000). The Concept of the Gene in Development and Evolution: Historical and Epistemological Perspectives. Cambridge University Press.
H. F. Nijhout (2002). The Nature of Robustness in Development. Bioessays 24 (6):553-563.
Citations of this work BETA
Tobias A. Mattei (2014). The Validity of Dawkins's Selfish Gene Theory and the Role of the Unconscious in Decision Making. Behavioral and Brain Sciences 37 (2):148-149.
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