Here another newsletter from Peggy Heuer-Schwarzer at SiOmec following from the previous (linked at bottom).
A reader of my Newsletter of September 1, 2022 (see “SIO the other newsletter; Today: News about Psycho fields”) was so taken with the idea of psycho fields that he got the book and discussed it with colleagues.
They didn't find any mistakes (ok, typos - thanks again for the messages!), but had a question about the development or evolution of thoughts, emotions, human attributes, etc. So, in short, they wanted to know how these psycho fields evolve and whether this can also be grasped mathematically. They had "not found this so directly" in the book and were not sure whether I had just treated this stepmotherly or whether it was really missing.
Well, first of all, I have to admit that I am impressed by such prudent reading, for indeed I did not neglect the subject of the evolution of thought or psycho fields, but it was definitely left out of the book (thus indeed "step-motherly treated"). I simply gave a reference [55] on the subject and otherwise left it at a few verbal explanations.
The development or evolution of systems (and thinking apparatuses are simply only systems, albeit complex ones) is mathematically a rather complex matter, which is why I had already placed the topic in another book a few days before finishing "Mathematical Psychology".
We think that this topic merits also a newsletter for a more technically and economically interested audience, because we know that meanwhile evolutional concepts are not only quite commonly used in socio-economics, finances and market simulations and for optimum decision making, but also in material science for optimization purposes. The interested material scientist may – perhaps – find some useful tips and strategies in the outsourced material.
Here it is:
It is easy to see that evolution is a complicated and multifaceted** story just by looking at the 304 pages and more than 600 equations that make up this volume.
This fact, however, also makes it easy to understand why predictions by people who have no idea about evolution or even its equations (above all our political actors and any number of public-law "experts") and who, moreover, do not even have enough life experience or common sense to make themselves a sandwich without slitting their wrists, are usually not worth a damn.
** means that there are always a lot of development possibilities even in the simplest systems
If you have any questions concerning the theory, please contact Norbert Schwarzer directly via email: n.schwarzer@siomec.de
For all other concerns (software, offers, development, investor requests) address Peggy Heuer-Schwarzer: p.heuer@siomec.de