Abstract
A recent debate concerning the representational content of DNA in developmental processes has opposed “dynamicists” and “computationalists.” I review the arguments in favor of a representational interpretation of the role of genes, and show that they are inconclusive. There is a very restricted sense in which genes can be said to represent something, and stronger claims about DNA being a program for the construction of an organism are overstatements. I also show that arbitrariness, taken by representationalists to be a central criterion for identifying representational vehicles, is neither a sufficient nor a necessary condition to qualify as a representation. Finally, I propose a relatively new way to define what programs are, which implies that genetic regulatory networks shouldn’t be thought of as being programs. As a consequence, insofar as cognition and development share similar mechanisms, any computational account of cognition should be significantly weakened.
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Notes
See, e.g., Wheeler (2007, p. 391) on how mRNA splicing in eukaryotes makes RNA, not DNA, the locus of representational content. More on this below.
It is actually harder to know precisely whether Keijzer claims that genes are not representations or are better seen as representations. That doesn’t matter since it is the possibility of such a thesis I am interested in.
I use the term “nucleic” instead of “genetic” to include RNA and noncoding regions of DNA.
It is actually not a rule but a pure causal mechanism. A rule would be a representation of that mechanism. But this doesn’t affect the present argument.
See also Kistler (2012): a given structure can be said to have a power that gives it the disposition to represent different things in different contexts.
They don’t mention the difference between protein synthesis and regulation, so I assume they include the noncoding regions as a program.
Provided, of course, that both genes are not degenerate, specifying the same amino acid sequence.
No pun intended.
The similarity between this example and Cummins’ (1996) “autobot” is not accidental: Cummins used it to illustrate his point about the non-arbitrariness of representation.
I leave aside here that Cummins refers specifically to symbols in a “language of thought.”
I am worried, though, that the sheer presence of the template protein might defeat the purpose of representing it. This worry is explored in greater depth below. See also Godfrey-Smith’s (2000b, p. 205) reply to Maynard Smith: genes in this case would be mere “samples.”
This objection is germane to what Sarkar (2000, p. 212) calls “hermeneutical relativity.”
Despite its humorous connotation, the term “spaghetti” currently has the surprising ability to represent a unified property of systems well suited for a dynamical systems approach. Wheeler (2005, p. 271), for instance, used it to describe dynamic neural networks, and Kauffman (1993, p. 420) used it to describe “well-scrambled genomic architectures.”
The same explanatory bet goes on in cognitive science, of course. See, e.g., Wheeler (2001).
The research program seems to already be in motion, yet all kinds of epistemological obstacles and confusions may be holding it back.
Maybe “protein regulation” instead of “gene regulation” should have been the name of the process of regulating protein production. My thought experiment will make this point even more compelling.
Let’s suppose that problems of undesired protein interaction are somehow avoided by special enzymes swimming among the proteins.
This is, for instance, Van Gelder’s (1997) position.
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Flament-Fultot, M. On Genic Representations. Biol Theory 9, 149–162 (2014). https://doi.org/10.1007/s13752-014-0172-0
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DOI: https://doi.org/10.1007/s13752-014-0172-0