1. The particular type of causal regime at work in biological organisation is ๐พ๐ก๐ค๐จ๐ช๐ง๐. It combines:
* An open thermodynamic regime, and
* A closed organisation regime of ๐๐ค๐ฃ๐จ๐ฉ๐ง๐๐๐ฃ๐ฉ๐จ
2. ๐ฝ๐๐ค๐ก๐ค๐๐๐๐๐ก ๐๐๐ฉ๐๐ง๐ข๐๐ฃ๐๐ฉ๐๐ค๐ฃ ๐๐จ ๐จ๐๐ก๐-๐๐ค๐ฃ๐จ๐ฉ๐ง๐๐๐ฃ๐ฉ
Closure can be defined in different contexts:
i. In general, a domain K is said to have closure if all operations defined in it remain within the same domain.
ii. For a system, its operation is said to realise closure if the results of its action remain within the system (Bourgine and Varela 1992). mitpress.mit.edu/books/toward-pโฆ
iii. For an organism, closure is realised if: 1. Processes are related as a network, so that they recursively depend on each other in their own realisation, and 2. They constitute a system as a unity recognisable in space in which the processes exist doi.org/10.1002/bs.383โฆ
5. Whereas autopoiesis is defined as closure of processes, here it's defined at the level of constraints: local and contingent causes, exerted by specific structures/processes, reducing the degrees of freedom of the system on which they act doi.org/10.1007/978-94โฆ @carl_b_sachs
6. Autonomous systems are capable of self-constraint: closed at the level of constraints, but thermodynamically open.
7. ๐๐๐ ๐ฉ๐๐๐ง๐ข๐ค๐๐ฎ๐ฃ๐๐ข๐๐ ๐๐ง๐ค๐ช๐ฃ๐๐๐ฃ๐ ๐ค๐ ๐๐ช๐ฉ๐ค๐ฃ๐ค๐ข๐ฎ
Biological organisation has to be understood from its thermodynamic grounding โ a balance between
i) components used to produce energy, and
ii) those able to modify rates of reaction ensuring synchronisation of couplings
8. In a biol. system constraints are required to harness the flow of energy (the system doesnโt only generate heat). They are also ๐๐ค๐ฃ๐จ๐ฉ๐๐ฉ๐ช๐ฉ๐๐ซ๐ when they're at the same time the condition and the product of the systemโs work (Kauffman 2000) global.oup.com/academic/produโฆ
9. Kauffman's approach misses, however, one aspect: organisational closure requires not only the constraining action exerted on the thermodynamic flow, but also a ๐จ๐ฅ๐๐๐๐๐๐ ๐ค๐ง๐๐๐ฃ๐๐จ๐๐ฉ๐๐ค๐ฃ among the constitutive constraints (namely, closure of constraints).
10. ๐พ๐ค๐ฃ๐จ๐ฉ๐ง๐๐๐ฃ๐ฉ๐จ ๐๐ฃ๐ ๐ฅ๐ง๐ค๐๐๐จ๐จ๐๐จ
๐๐ง๐ค๐๐๐จ๐จ๐๐จ are the whole set of physicochemical changes
๐พ๐ค๐ฃ๐จ๐ฉ๐ง๐๐๐ฃ๐ฉ๐จ are entities which act on these processes while remaining unaffected by them and the processesโ time scale. #definition
Constraints can be defined in terms of symmetry:
C is a constraint on a process AโพB (produce B from A) at a timescale ๐ if:
i) AโพB and AcโพBc are not symmetrical. In other words, the result of converting A into B is affected by the presence of the constraint C
ii) There's a temporal symmetry associated with C_{AโพB} in relation to the process Ac=>>Bc at time scale ๐. In other words, the occurrence of the obtention of B from A does not affect C: C is conserved.
11. In most biol. systems, constraints alter their behaviour but don't lead to new behaviours:
B could be produced by A without C, although that may be very unlikely.
Constraints do not extend the space of possible dynamics, just shape their probability!
12. Constraints may be ๐๐ฃ๐๐๐ก๐๐ฃ๐ or ๐ก๐๐ข๐๐ฉ๐๐ฃ๐. F. ex, enabling at short time scale (contribute to make happen something that would be otherwise almost impossible), and limiting (canalising) at long time scales. mitpress.mit.edu/books/dynamicsโฆ
13. The symmetry condition (ii) implies that no relevant flow of matter or energy occurs between C_{AโพB} and AโพB, hence, at time scale ๐, constraints can be treated as if they were not thermodynamic objects!
14. The central difference between constraints and processes is that they correspond to two different causal regimes:
- Processes are a ๐ข๐๐ฉ๐๐ง๐๐๐ก cause,
- Constraints are an ๐๐๐๐๐๐๐๐ฃ๐ฉ cause (at timescale ๐). plato.stanford.edu/entries/aristoโฆ
* Dissipative structures: example of self-organisation, such as Bรฉnard cells, flames, hurricanes, oscillatory chemical reactions, ... #definition youtube.com/clip/UgkxODG6sโฆ
16. Dissipative systems realise a minimal form of self-determination. They generate a single macroscopic structure, unlike biol. systems which can exert a high number of constraints & generate networks of structures realising collective self-maintenance.
17. The distinction between self-organisation and closure involves the takeover of the boundary conditions required for the maintenance of the system.
Self-organising systems are not just too simple: they are not a relevant starting point for the emergence of biological autonomy.
18. ๐ฟ๐๐ฅ๐๐ฃ๐๐๐ฃ๐๐
A single constraint C acting on the process AโพB at timescale ๐ can be written C(AโพB)๐ and represented diagrammatically as
19. There is dependence among constraints when the replacement or repair of a constraint depends on the action of another: C1 is a constraint at scale ๐1, C2 is a constraint at scale ๐2 or a process producing aspects of C1 relevant for its role as constraint as scale ๐1
20. ๐พ๐ก๐ค๐จ๐ช๐ง๐
Is the mutual dependence of constraints:
*Closure is not independence
*Closure is a general invariant of biological organisation
*Closure is a fundamental principle of order of biological phenomena:
21. ๐ผ ๐ฌ๐ค๐ง๐ ๐๐๐ค๐ช๐ฉ ๐ง๐๐ก๐๐ฉ๐๐ ๐ข๐ค๐๐๐ก๐จ
Time to acknowledge the pioneering work of Maturana & Varelaโs autopoiesis, Patteeโs concept of constraint, Szathmaryโs reflexive catalysis, Kauffmanโs catalytic closure, Gรกntiโs chemoton, Rosenโs relational biology ๐
22. ๐๐๐๐ช๐ก๐๐ฉ๐๐ค๐ฃ
Regulation addresses variations which call for a response by the global organisation, unlike Constitutive stability, which is related to local robustness (f.ex., in systems with negative feedback loops such as Gรกntiโs chemoton).
23. Constitutive stability is an example of ๐ง๐ค๐๐ช๐จ๐ฉ๐ฃ๐๐จ๐จ, and alone does not enable the system to explore different regimes of closure.
On the contrary, Regulatory constraints:
*Donโt contribute to the maintenance of closure in stable conditions, but when the system is disrupted, they govern its transition towards re-establishment.
*Are not subject to constitutive closure: they are 2nd-order in the sense that they act on other constitutive constraints
*Realise a sort of decoupling from the constitutive organisation
*Produce reversible actions: the system can be transitioned back to its original state
24. Regulation is not only robust (like constitutive stability) but adaptive; regulates 1st-order norms according to 2nd-order norms; is what characterises metabolism (and not only constitutive stability)
25. Regulation is what allows stability while enabling an increase in complexity, by enabling the composition of constitutive building blocks.
26. ๐๐ค๐ฌ๐๐ง๐๐จ ๐๐ช๐ฉ๐ค๐ฃ๐ค๐ข๐ฎ
Regulation represents a qualitative transition on the path towards autonomy. With regulated closure, a system can generate intrinsic norms according to 2n-order norms.
However, we still need an ๐๐ฃ๐ฉ๐๐ง๐๐๐ฉ๐๐ซ๐ ๐๐๐ข๐๐ฃ๐จ๐๐ค๐ฃ.
1. The main question of the book is how to characterise life?
A fundamental problem is the tension between the principle of continuity from inert to living, and the obvious differences between them.
2. Mainstream thinking emphasises the role of evolution and adaptation, i.e., the history of changes, but forgetting the organism, which becomes almost *dispensable*.
Brain folds develop together with cytoarchitectonic regions and corticocortical connections. That folding results from a mechanical instability is now relatively well accepted. However, the pattern of these folds is still thought to reflect patterned gene expression #ohbmx
2
Indeed, a genetic program could encode regionalisation, connectivity and folding patterns. But what if folding *patterns* were of mechanical origin too? That would mean that mechanics have a causal role in the development and evolution of brain organisation! #ohbmx
3
One hint at the mechanical origin of folding patterns comes from observations made across primate species. Brains of phylogenetically distant species but with similar volume tend to have similar folding patterns despite their common ancestor being likely lissencephalic #ohbmx