Based on the sources provided, I am familiar with the work of Dennis Noble and his core arguments against what he calls the “Data Hypothesis” (the reductionist view of DNA as a privileged “program” of life). Within the framework of Relational Biology, Noble’s work is used to dismantle the idea that any single level of a system—especially a “database” like the genome—can be seen as the ultimate cause of behavior[1],[2].
Here is how Noble’s perspective on the data hypothesis and related concepts is structured within these sources:
1. Refusal of Privileged Causation (Biological Relativity)
Noble’s central critique is that there is no privileged level of causation[3].
• DNA as Database, Not Program: In his view, the genome is a “passive template” or a database utilized by the cell[2]. The “program” is the entire living system and its circular interactions, not the instructions stored within it[1].
• Circular Causality: He argues that causality is distributed across all levels—from molecules up to the environment—and back down again[4]. This aligns with his theory of Biological Relativity, which states that the “mush” of data at the bottom only becomes meaningful when constrained by the higher levels[2].
2. The Role of Boundary Conditions
Noble identifies the environment as the source of “boundary conditions” that make biological dynamics possible[4].
• Constraints over Force: Instead of a master controller, the system is guided by physical and functional boundaries that limit the probability of certain events[4].
• Fuzzy Boundaries: He notes that while we see anatomical boundaries (like skin), functional boundaries are “fuzzy” and extend into the environment and social interactions[4].
3. Harnessing Stochasticity
A key paper cited in your sources, “Harnessing stochasticity: how do organisms make choices,” explains how life uses randomness (chaos) rather than being victimized by it[2].
• Order from Chaos: Noble describes a process where biological systems “decouple” from reflexive control to allow molecular stochasticity (randomness) to generate a variety of options, from which the system then “chooses” the most viable path[5],[6].
4. Alignment with the “Relational” Tradition
Noble is grouped with thinkers like Robert Rosen and Howard Pattee because they all reject the “machine metaphor”[7].
• Non-Computability: Like Rosen, Noble suggests that complex systems cannot be fully simulated by a formal model (a “program”) because they involve closed causal loops that simple algorithms cannot capture[8].
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Does this view of the genome as a “database” rather than a “program” help you see the “misfits” in your own system more as structural dependencies rather than just “broken code”?
References
[1] 💬Environment.md [2] 💬Environment.md [3] 💬Perspectives.md [4] 💬Environment.md [5] 💬How To Guides.md [6] 💬How To Guides.md [7] 💬Distinctions.md [8] 💬Nutshell (Process).md