These are public posts tagged with #proximal. You can interact with them if you have an account anywhere in the fediverse.
SciTech Chronicles. . . . . . . . .Feb 13th, 2025
#gravitationally-warped #NGC-6505 #space-time #Euclid #Mediterranean #KM3Net #ARCA #ORCA #microbiome #fermented #proximal #distal #mutations #epigenetic #DNA #methylation #cytosine #Bioink #SCOBY #nanocellulose #hydrogel
A dynamical system with #memory with the ability to learn and adapt to its environment or to change it will need at most these three #control mechanisms:
The #internal immediate control (#regulation) of state variables essential for preserving the stability or #homeostasis of the system. This is a simple #reaction of the system to a perturbance, like, for example, sweating when the core temperature of the body increases beyond some preset margin.
The #proximal control of the surrounding environment is used when
is overwhelmed and there is a need for the coordinated engagement of different lower-level regulators, the #measurement (tracking), and negative #feedback control of multiple time-dependent variables like for example, when taking off layers of clothes, moving the body into a shade, or taking a cold shower until the temperature gets again within limits.
The #distal, long-term, open-loop control with delayed feedback is the highest form of control, like for example when building a house with an HVAC system that will remove the necessity for a continuous employment of proximal control (
) by creating a private controlled environment.
All #living systems feature this 3-layered control architecture, with the only difference being in what degree the activities on each level are the result of #conscious deliberation as opposed to a natural, innate behavior.
A Stochastic Proximal Polyak Step Size
Fabian Schaipp, Robert M. Gower, Michael Ulbrich
Action editor: Stephen Becker.
New #ReproducibilityCertification:
A Stochastic Proximal Polyak Step Size
Fabian Schaipp, Robert M. Gower, Michael Ulbrich
A Stochastic Proximal Polyak Step Size