amatic
Joined 12 years ago
Joined 12 years ago
> The archetypal example for this is something like a thermostat. The variable S represents random external temperature fluctuations. The regulator R is the thermostat, which measures these fluctuations and takes an action (such as putting on heating or air conditioning) based on the information it takes in. The outcome Z is the resulting temperature of the room, which depends both on the action taken by the regulator, and the external temperature.
The problem here is that the regulator R does not measure external temperature. It just measures the controlled variable - the temperature Z, so the causal arrow should go from Z to R too, and the arrow from S to R does not exist.
Control theory and cybernetics were supposed to transform psychology in a much more dramatic and all-encompassing way, as argued by W.T. Powers, for example[1]. In modern psychology, the concept of negative feedback control is treated like a metaphore, a vague connection between machines and living things (with the possible exception of the field of motor control) . If psychology would take the concept seriously, then most research methods in the field would need to be changed. Less null-hypothesis testing, more experiments applying disturbances to selected variables to see if they are controlled by a participant or not. That is the meaning I'm getting from the call to revolution.
[1] https://www.iapct.org/wp-content/uploads/2022/12/Powers1978....
The reviewer is a psychologist, with some interesting opinions and criticisms of psychology. My impression is that applying control theory to study human behavior should be the revolutionary thing, for psychology.
>>Without a doubt, human neuroscience is entering a new and important era. However, it can fulfil its goals of improving human experiences only when study participants are involved in discussions about the future of such research.
That seems a bit biased toward discrete systems. Engineers and scientists of the time used mechanical and (later) electric analog computers, and they were more powerful than the new discrete systems, for most purposes. For example: Helmut Hoelzer’s Fully Electronic Analog Computer used in the German V2 (A4) rockets https://www.cdvandt.org/Hoelzer%20V4.pdf (text in German, but has some pictures and diagrams)