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主题:【原创】围绕脑科学而发生的若干玄想 -- 鸿乾

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家园 熵=phantom, insider your mind

first of all, thx for the forbes piece, a worth reading, and that motivated me to do a follow up;

1.

"熵不是亂度或無序",

http://proj3.sinica.edu.tw/~chem/servxx6/files/paper_2862_1231474464.pdf

丁尚武

國立中山大學 化學系

2.

the above is a great piece, but far from the core of the white logic, which I have commented many times already,

90岁彭桓武:对爱因斯坦两段话,至今未能真正理解 [ 晓兵 ]

"concepts such as 系综, 么正性, gauge, 測度, 度規, etc, the key physics/math aspects of the core of the white logic,"

3."熵不是亂度或無序", then what it is?

3.1

熵=phantom, insider your mind, inside my mind

if I can borrow "phantom of the opera"

么正性, gauge, 測度, 度規=路徑積分 of phantom, insider your mind, inside my mind, inside of every "free soul"

in a 洛伦兹流形

after all that kind of "phantom shaking out", and sometimes in a possibly very bloody way, we may be able to have a clue/路徑 about the real phantom, or 伟光正, kind of the white's version

http://www.youtube.com/watch?v=VlRnzANjVZs

3.2 phantom= an open-ended journey

short term: until we humanity as a whole figure out how to exit from earth in the next 1k to 5 billion years

3.3 廣義相對論's phantom

"由於等效原理(Equivalence

Principle) 所要求的廣義座標協變性(General

Covariance),廣義相對論基本上有一個無窮大的規範對

稱(gauge symmetry),大到使得這個理論中不存在任何

規範不變的局域物理觀測量"

4. there is this the greatest ocean between the white culture/science and those of asia, and us china in particular, and one of the reasons for us Chinese's very narrowed culture/mindset's 光譜 is that we don't really have religion, science in our 6k years old Chinese culture, and I don't want to talk about that too much

anyway, the forbes piece is a good one, and I will read it and will have a better idea about the authors of that paper

5. a great piece, thx, Alexander Wissner-Gross, is going to make a lot of money with his models, good for him

6.

"From Atoms To Bits, Physics Shows Entropy As The Root Of Intelligence", overall a good piece

Anthony Wing Kosner does not know that "熵不是亂度或無序", understandably since 熵 is such an over abused term, still, he some how managed to get some of the major points of dr. Alexander Wissner-Gross's paper;

Anthony Wing's writing is still a great piece, but Anthony Wing Kosner of the forbes writer, a possibly yale art major, does not really understand "熵不是亂度或無序", 熵 as a critical concept

http://www.forbes.com/sites/anthonykosner/2013/04/21/from-atoms-to-bits-physics-shows-entropy-as-the-root-of-intelligence/

7.

now, let us "read" through Alexander Wissner-Gross's paper, with Anthony Wing Kosner's 科普, and my comments (many from my previous posts)

---------quoted from Anthony Wing Kosner's piece about Alexander Wissner-Gross's paper-------

“Casual Entropic Forces,” that seeks to formalize the “deep connection between intelligence and entropy maximization.”

In short, everything in nature (our minds included) seeks to keep its options open. Instead of seeing entropy as a form of destruction (things falling apart) Wissner-Gross shows it to be a state of active play.

They see “intelligence as a fundamentally thermodynamic process,” where any given system engages in a “physical process of trying to capture as many future histories as possible.”

"Future histories? They mean possible outcomes. "

--my comment-------

my comment: I have commented so much about "canonical (平衡正則) system", and such a system is time invariant=future outcomes are already "included" in the system, 决战千里之外=千里之外 is already "priced in" in the model, with our ass fully covered, so we don't go out there naked and get f---ed from behind.

my previous post: if we can manage "1" part, we basically have system's 么正性,因果关系, 逻辑链条 established, in terms of defining 測度 with 機率 distribution in a well defined (L2 可积 mathmatically,or 位能場平方力 physics model wise) hilbert space, 冯-诺伊曼's 泛函, etc;

and such a system is normally called a "canonical (平衡正則) system", and within the system, we can calculate from 因 to 果, or from 果 to 因, classical 哈密顿系统辛流形, and going further into QFT under 相对论框架 , we could have 虚時間,实時間, 虚粒子,实粒子, off the shell, on the shell, and their 么正性,因果关系, 逻辑链条, etc;

---quoted---------

Wissner-Gross explains that some important landmarks in human evolution, like the use of tools, upright walking and social organization, are dening behaviors of the human ‘‘cognitive niche’’ that spontaneously emerge through the entropic forces that his theory describes.

---my comment--

Verlinde: gr's 引力場 emerges just as an entropic force, a thermodynamic model of 引力場

---quoted---

Because these are principles of physics, though, humans are not particularly privileged. Any system that can be acted upon by entropic forces can become intelligent. A recent theory by Eric Verlinde, a professor of physics at the Institute of Theoretical Physics at the University of Amsterdam, suggests that gravity itself is not an elemental force, but “simply a by-product of nature’s propensity to maximize disorder.” In other words, a special case of entropy.

---my comment: the above about prof Eric Verlinde is a good summary-------

---quoted----

A second example (see bottom sequence above) Shows how a “hand” can use a “tool” to extract “food” from a confined space (too small for the hand to reach in.) Again, it is only through programatic movement “governed by simple principles of thermodynamics,” that maximize access to “future histories” (in other words, entropy.) “It actually self-determines what its own objective is,” says Wissner-Gross. “This [artificial intelligence] does not require the explicit specification of a goal.” In this, Entropica is different from most AI systems. Similar, perhaps, is the way that Expertmaker encourages users to play with example sets of their data using “small AI” components instead of the more conventional “big data” expert systems.

--my comment---

“It actually self-determines what its own objective is,” says Wissner-Gross===marketing to the non-theoretical physics phd market, understandably

I have wrote before, once a

a "canonical (平衡正則) system" is assumed and modeled, we can we can calculate from 因 to 果, or from 果 to 因,etc, the system's own objective=given already by 么正性, or 因果关系 as defined in a Hilbert space which it self is well defined by 冯-诺伊曼's 泛函.

for a system to survive: it has to use 最小作用量, with 最大范围( to get information, often "最大體積" in 洛伦兹流形) 积分, kind of like the plant's animal behavior you guys discussed, and we could call that as plant's 最小作用量原理 or plant's AI, and from plant's AI to 費曼路徑積分, etc

2.

if we can manage "1" part, we basically have system's 么正性,因果关系, 逻辑链条 established, in terms of defining 測度 with 機率 distribution in a well defined (L2 可积 mathmatically,or 位能場平方力 physics model wise) hilbert space, 冯-诺伊曼's 泛函, etc;

and such a system is normally called a "canonical (平衡正則) system", and within the system, we can calculate from 因 to 果, or from 果 to 因, classical 哈密顿系统辛流形, and going further into QFT under 相对论框架 , we could have 虚時間,实時間, 虚粒子,实粒子, off the shell, on the shell, and their 么正性,因果关系, 逻辑链条, etc;

----------quoted--

And physics equations themselves are incredibly efficient descriptions of movement. Unlike traditional animation in which everything must be specified, a physics movement has a starting point and some initial attributes and the rest, including the end point, just happens. And not only does this take less code and less processing time, it also feels more natural because we recognize physics intuitively as the way that things in the world “just work.”

What we see here is a mathematical description of spontaneity, of freedom—of play. Wissner-Gross writes that these “maximum entropy methods have been used for… strategy algorithms [that] have even started to beat human opponents for the rst time at historically challenging high look-ahead depth and branching factor games like Go by maximizing accessible future game states.”

---my comment: a good "marketing" summary about the white's "canonical (平衡正則) system" and the logic behind it--------

----quoted----

It may be that it has taken us more than century to acclimate to the intellectual disruptions set in motion by Einstein. In classical physics, entropy is the enemy, something that tears down what we build up. But in the quantum world, the chaos of entropy is the vitality of life. And it reveals itself not in grand historical revolutions or world wars, but in our casual, everyday activities. We cultivate open minds not because we are liberal or conservative, young or old, but because we understand intuitively that it is a matter of survival—physically, emotionally and intellectually—to maximize access to future possibilities.

---my comment---

I don't think "a quantum world" is in Alexander Wissner-Gross's that paper

overall, a yale-humanity/art major (my guess) can write such a on the money summary on Alexander Wissner-Gross's paper, is pretty amazing;

I remember I wrote here may be a couple of years ago, that 老美 is a 疯子 society, financed by a 疯子 economy, with a 疯子 culture/ mindset;

疯子=phantom of opera;

8. 老美=爱因斯坦场, full of 疯子 with many of 疯子=引力奇点

8.1

引力奇点- 维基百科,自由的百科全书 - 维基百科- Wikipedia

https://zh.wikipedia.org/zh-hant/引力奇点

引力奇異点,也称时空奇異点或奇點,是一个體積无限小、密度无限大、時空曲率無限大的點。 两种最 ... 線性化重力、後牛頓形式論、爱因斯坦场方程、弗里德曼方程 ...

8.2

(as I wrote before) 引力, everywhere, as we interact with each other, and the more we move, the more we contribute to 引力場 from our 自能場 we create as we move, and the stronger 引力場 make us move even more, a full interaction type of evil, non-linear, 无穷大 stuff, kind of challenging issues for GR's gravity quantization, how can you quantize something non-linear?

if someday we have a breakthrough in gravity quantization, everybody will double their life spans from 30k day to 60k day, so far, I think we die, because our brain can't handle gravity in today's social 引力場;

9.

老美=火車頭 of human civilization as we know, for the foreseeable future

and if EU can put its ass together and do some real work,老美 will 如虎添翼 to move world economy forward out of the current sluggish qeed growth;

and for tg: all tg needs to do is to 搭顺风车, what a lucky tg, and tg's n-代, 再活500年?!

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