The Fractal Nature of Consciousness and Intuition by Torsten Asselmeyer-Maluga

Dear Torsten Asselmeyer-Maluga,

Thank you for your detailed and colorful essay on neural networks and the fractal nature of the ability to generate intention. While I have had some limited experience with neural networks over the past 20 years, your essay has inspired me with some fresh perspectives. I find the fact that "feedback loops produce the topology of the network" to be a key step in future computational ability too. We are also in agreement about the nature of top-down and bottom up feedback loops being essential in such realizations. Thank you for writing so succinctly and with great examples. I have enjoyed your essay and have rated it too.

Regards,

Robert

Torsten,

Don't know what a GRG essay is.

Jim

I hope you enjoy the paper I sent you Torsten..

I have been thinking also about a fractal relation involving developed land and forests or other natural spaces. It appears that the quality of life is higher when humans and nature are in close proximity, where conventional planning often eliminates buffer zones in neighborhoods, or isolates them, but interpenetration allows ease of boundary crossing. Anyhow; I think fractal human/nature boundaries are optimal and that it would be good to write about this. It is broadly in line with your essay topic, but this is a question I've pondered for some time.

All the Best,

Jonathan

Hi Torsten,

Great paper, and I totally agree with what I think is the assumption behind it: that the only way the problem of consciousness will be solved will be to apply ideas from multiple disciplines- including advanced mathematics and physics.

Best of luck in the contest and om your research,

Rick Searle

Hi Torsten,

Your idea is similar to the idea of deep learning in AI via Renormalization group. Googling will get you many papers. As a matter of fact my system generates RG automatically.

You have seen my system before but in my new essay which is short and sweet:) I derive Newtons gravitation(long distance) law from the SAME system that generate all the quantum mechanical results. Moreover, the simulations that predict the electron and the proton now I find an analog of it in the standard physics via Helmann potential which is a combination of Coulomb and Yukawa potentials. Thanks for your attention.

last year essay

your this year essay

see gravity,p2

gravity

Torsten,

I see. General Relativity and Gravitation sponsored by GRF. Any affiliation with eventual LIGO efforts to approach BB waves?

Jim

Torsten,

A great essay as usual, right on topic, well written and more importantly for me correctly identifying the quantum scale mechanisms, layered (fractal) and feedback based architecture producing the - almost 'illusion', of aims, intent and even consciousness.

Of course I would think all that as my essay describes and concludes exactly the same components and structure, so is very complementary, though where you more thoroughly cover the key point I also identify important related matters at the highest and lowest ends of the scale. I hope you may particularly comment on my identifcation of a classical derivation of QM's 'probability' distribution, built wearing last years red & green socks!

I gather yours too has been hit by '1's. Mines had 11! but I've refused to retaliate. I think yours is worth far more than it's current placing suggests. Close now to final scoring so I hope you'll get to read mine and confirm you agree with my analysis of our complementarity or raise any issues.

Very well done, again, and best of luck.

Peter

Dear Torsten,

A very well written technical essay, that makes some very interesting points. While I grasped the larger ideas of feedback loops, top-down effects and the results you obtained on fractal curves, I can see the devil is in the details. I wish my knowledge of topology was better to better appreciate some of the results and insights here, but I intend to change that and come back to this paper again once I have a better grasp of related concepts (PS: If you can suggest some kind of good resource for someone who is beginning to study topology, I would be very grateful. I rather not start with some of the advanced references in your submission).

Please know that I appreciate the mathematical rigor of your work, for I think it is important to not be wishy washy when dealing with issues of learning and intuition. My submission shows that our learning is intricately tied to feedback-feedforward models. I also agree on the idea of top-down causation (though I prefer that Ellis is now referring it to as top-down realization). It is heartening to see that over the course of the various submissions, there seems to be a growing consensus emerging on what some of the important ideas to probe further are.

This is great work and focuses on the important questions. I have rated it highly so that it can make it to the final deservedly, and can be judged fairly for its proper technical content. I now look forward to going back and reading your past winning essays on this forum. Thanks and good luck in the contest!!

Cheers

Natesh

PS: My email is nganesh@umass.edu. Please feel free to reach out. I would love to see where you go further on this line of work. Hopefully I will gain more understanding on this area of math, as I dive deeper. I am particularly interested in understanding strange non-chaotic attractors.

Thanks Torsten,

I have a friend Jolanda who was form many years a Civil Engineer and now has a degree and practice in Environmental Law. She may have some insights or information relevant to our writing about human/nature boundaries and to quantify changes in fractal dimension before and after development.

All the Best,

Jonathan

It is good to see that..

If the qualifying round ended right now, you and I would both be in the finals. I wish you luck now and into the future Torsten. I left another brief reply/comment above.

All the Best,

Jonathan

Torsten,

I'm glad you agree on our agreement. I think we're both right on topic and get straight to the heart (and brain!) of the matter and it's dynamics. Certainly some 10's around here I think! I hope you'll also check out my video.Classic QM on vimeo. I'm also always up for collaboration. Loners can't penetrate doctrine and few have all the skills.

I'm scoring yours now. Very well done. Do please comment on/criticise the video.

Peter

Hi Torsten,

Thank you for reviewing my essay. As you know my system is based on a simulation of a mathematical structure that is based on random numbers that lead to known physics result , so it was natural for me to try to connect it(or somehow convert it) to standard methods in physics. During such a search I stumbled on the Helmann potential and noticed that it pretty much produced similar curves to my simulation. Of course such potential has a different use in standard physics, however, it seems that the original Yukawa interpretation of "force particles" might not have been a good idea! Also, it was natural that at distances longer than Compton wavelength the Coulomb potential should take over. In another word, to interpret Yukawa's potential the same as Coulomb i.e. two particles(actual) interacting as in chirality!

As to the idea itself, I understand that people don't have all the time or inclination to examine other ideas to a great extend. But I have shown in numerous examples and simulations with NUMBERS how the QM/QFT phenomenology arises from such structure.

My best hope is to give people a quick taste of the idea. And at least I hope people spend few minutes to run the simulations, especially the Newton's gravity law generation.

Thanks again.