operand _

How to get the classes of an object?

( object ∈ _ )

How to get the objects of a class?

( _ ∈ class )

Operand _ is used for finding each match.

operator ∀ ∃

∀ operand ≡ for each sub-object of the operand

∃ operand ≡ select one sub-object of the operand

Associated by the operator ∀ or ∃, the operand is regarded as a collection, and its first level sub-objects are regarded as elements of a collection.

After any formula solving, there is a collection of combinations of the assigned unknown content operands gotten. We can use the operator ∀ to produce the macro for each, or use the operator ∃ to choose one.

operator ¬ ? $

Not

¬( operand operator operand ) ≡ operand ¬operator operand

Query

?( operand operator operand ) ≡ operand ?operator operand

Associate

$( operand operator operand ) ≡ operand $operator operand

The 3 operators are little like the class default behaviors such as constructor and destroyer in the traditional object oriented system. They are the default operators of operators which also have the mechanism of inheritance little like classes.

operator ' and `

But the operator also has its sub-objects as operands and behaviors as operators, so it is necessary to separate the object oriented operator ' and the mathematical operator ' . Which one will be changed to be ` ? What I think is the mathematical operator because the transpose has the meaning of inversion and reversion, and the differential also has the negative meaning. So let us change the mathematical operator ' to operator ` .

Then:

operand ` ≡ transpose of operand

operator ` operand ≡ differential of operator(operand)

operator ' operand ≡ operand @ operator

operator ' sub-operator ≡ sub-operator @ operator

Why do we not use the operator "." for the sub-object? In case of the sub-object "integer.decimal". The value of an object are its sub-objects, and the terminal value in the end of the object collection graph is the symbol of its terminal object. The symbol of an object may be pure number, __.__ is a symbol and value, how to express a sub-object of an object? So we use the operator ' .

operator '

operand ' operand ≡ sub-object of object

operand ' operator operand ≡ ( operand ' ) ( operator operand ) ≡ ( transpose of operand ) * ( operator(operand) ) 

( operand ' ) operand ≡ ( transpose of operand ) * operand

operator ' operand ≡ differential of operator(operand)

Exponential operator

I do not write the exponent as a small word binded in the upper right corner because the nested exponent results in the upper right corner words smaller and smaller till they are hard to be written. So I use the operator ^ to bind the exponent even though handwriting not typing.

☁

I had told you the original definition of the Cloud in 2000 was that "users and applications do not need to care about where the software are" before it was sent to the ANSI to be a wrong definition in 2006, why did you still separate the Cloud and the Fog (Edge) like you still separate the servers and the clients? Why did you still regard the Cloud as the servers even though the servers were dynamically allocated? Please regard the whole network as one host and develop the dynamically distributing operating system actively to push the real Cloud to come true.

What the neural networks

As the processors in computers were never called the electronic brain, the neural networks we usually called before should not be called neural networks. They belong to the 5th generation computers; the real neural networks belong to the 6th generation computers.

operator operand

X = [1,2;3,4;5] ≡ X = [[1,2];[3,4];5] ≡ X = [1,2] ; X = [3,4]  ; X = 5

,  ≡ ∧
;  ≡ ∨

the association of "," is prior to ";"

X = [ ] ≡ X = null

obj ‘ sub ≡ sub @ obj
obj behavior ¬≡ behavior @ obj
obj # n ¬≡ obj ‘ # n

operand operand ≡ operand * operand
operator operand ≡ operator ( operand )

the association of "*" is prior to all another operators

operator operand operand ≡ operator ( operand * operand ) 
operator operator operand ≡ operator ( operator ( operand ) ) 

f ∈ operator, ∀o ∈ (x,y): o ∈ operand
⇒ f x y ≡ f ( x * y ) ¬≡ f ( x, y )

Run-time dynamic definition example:

g ∈ operator ⊧ f(x,y,z) ≡ ( g y ) ( ( g ^ (-1) ) x y ) ,
g ∈ operand ⊧ f(x,y,z) ≡ ( f g y ) ( ( f ^ (-1) ) (y,z) )

The imitating and synthesizing

The audio and video communication can be imitated and synthesized, several times the counterfeitings from the opponent were seen through in the reaction mode of the temporary interaction. Will what signals the AI imitates be not only the outer representation in the next? It will be much more and more difficult.

The tactics and strategy view

Do not let the tactics and the strategy in two separated views . They are better to be interacted in the same view.

operator #

obj ‘ sub ≡ sub @ obj
¬ ( obj behavior ≡ behavior @ obj )
¬ ( obj # n ≡ obj ‘ # n )

obj#n 代表第n个class为obj的object，@ set

obj’#n 代表obj的第n个sub-object，@ collection

What is real?

As there will be the real Cloud, there will be the real neural network. But the real Cloud may come true in several years; the real neural network may be several 10 years.

🤖

La vizio de la Oksigena Plano je la komenco de la jarcento estis lasi homojn helpitajn per artefarita inteligenteco laboras aŭ studi ien ajn kaj iam ajn, sed hodiaŭ ĝi estis evoluigita por esti monitorita de la artefarita inteligenteco kiam homoj laboras aŭ studas. La originala celo liberigo fariĝis kontrolo.

The vision of the Oxygen Plan at the beginning of the century was to let people assisted with the artificial intelligence work or study anywhere anytime, but today it has been developed to become monitored by the artificial intelligence when people work or study. The original purpose of liberation has become control.

Virtual Reality 和 Reality 是不是同一回事？

在于 Spatial Mapping 的精准度与解析度，只要夠接近，基本上在 VR 里 run 的就是在 reality 实际 run 的。如外在世界不到脑里形成不失真的 VR，大脑又何从思考做出判断以传令予肢体应对 reality ？对 reality 有准确的认识，在脑里 VR 演练过多回，到 reality 实行时方能一次做对。在 VR 里失误不会有损失，在 reality 失误就是实质的损失。

智能行驶

Spatial mapping 是 Google car 首先带到民车的，之前是 DARPA 在 tank 上面搞，tank 才是在人车稀少的野地测试，Google car 是在公路上跑有几年时间 0 事故，那时我还很呕说我光是 VR 模拟就频频当机，他们是怎么办到的？智能车开始出现事故是这一两年的事，看到有一辆直直往分隔岛冲撞去，很惊讶那么明显的障碍物怎么可能没侦测到？得知是把分隔岛另一边道路的右边地标线当成是自己车道的左边地标线，这不是早在世纪初还没有 spatial mapping 以前就开始在公路测试的平面影像辨识与移动追踪吗？现在不是已经多了 spatial mapping 吗？就算看错了地标线怎么会不知道前方有障碍物？火场寻径与道路寻径是通用同套，管它是火场还是人车都是禁止穿越过的障碍物，这还不需用到类神经网络，这是不经过思考几近反射的简单立即判断，除非是同时出现多个多向快速移动中的障碍物才伤脑筋。在 VR game 里都 run 到驾轻就熟很平常的动作，在 reality 意外是怎么发生的？确定不是传感器故障或处理器当机？

AI 寒冬？明明现在我就热到要吹冷气降温

从上世纪末到这世纪初科技界所谓的 AI 寒冬是指 NN 克服不了技术瓶颈表现差强人意沈寂到了近年才在技术上取得突破，而今年非技术人员所谓再一次 AI 寒冬算是属于达康类型的商界情景。当前并非所有 AI 都用 NN 为佳如同人脑亦是有些事用精准逻辑表现较好、有些事用模糊感觉表现较好而采另一套反而表现较差，早就说过要双管齐下同时进行而何者临场结果可接受即采何者，所以不要单方面看到某些时候 NN表 现不如预期就开始在说什么泡沫寒冬。自动驾驶开始出现事故当然是要去改进而非因噎废食，试问在 AI 以前有因为交通事故频传就都禁车而不改进车体的机构安全吗？从来想不劳而获的都是搞金融的，泡沫就只有股市商式炒作在泡沫，技术是不能不持续改进，为的是实用。

Dynamically Distributing Softwares

Services are not only on the servers but also on clients or routers; however, dynamically distributing softwares are much better.

扫码付

扫对方码付款要注意先对着要付的QRcode再开，切勿先开再去对，移动中万一扫到别的就误付出去了。至于出示码付款则切勿使用，一旦开啟，移动中任何方向都可扫你收你钱；出示码收款则无此顾虑，所以QRcode仅限收费方出示供扫。

Distributing Serializable Object

No files; only Serializable Objects. 

No services; only Distributing Serializable Objects. 

Distributed is static; distributing is dynamic. 

To access the local cache of the Distributing Serializable Object can update it on the original host directly without any other networking.

To localize the Distributing Serializable Object to let the cache of it not be swapped out can have the same effect with the block chain.

分辨机群中的无人机有人机

外观看不出机群当中谁是无人机谁是有人机时派无人机群去冲去逼就可以试出来，因为有人机无法做出一些无人机才做得到的动作。

Serializable Object Store

在多个近似性质的 Apps 间切换，每为一个服务又要再下载另外近似性质的 App 实在很麻烦！有人说那就用 Web 就不用下载 App 阿！还不是要切换 pages ？要的是一个画面里的互动就能处理全世界大大小小的事，那又不要一个 App 全交给一家做，要怎么办？就各家提供 serializable objects 不提供 Apps ，弄个 object store 。

☁️Cloud

☁️Cloud 的原始意义在上世纪下半是通讯各端只要确保信息传抵甭管中间如何传，这世纪元年进一步展至只要有脑用甭管位何。基于此，打从元年始我走的就是始于上世纪末的动态分布式运算操作系统让分布于网上的多脑用起来如同在使用同一大脑，数年后才发现有人走的是服务器代管路线，虽也实现了动态配置，但让人以为那就是 Cloud 不就同上世纪末让人以为 Web 就是互联网？现几大企所为 Cloud 还是仅称 Serverless 较为合适，如同 Fabless 的 IC 代工，其为代管，也就是说 server 、fab 实际上仍是存在，仍就是 client - server 。真正的 Cloud 是使多机用起来如一机的动态分布式操作环境，没有后台前台之观念。

☁ Could Cloud

So many people regard servers as Cloud. However, your handy device is one piece of the Cloud too no matter how tiny it is. So many tiny devices could be organized as a super computer by the Cloud operating system. 

☁

There is no remote storage.
There is only remote memory.

Each host swaps the senses between local memory and local storage automatically at background by themselves.

However, you also can regard there is no remote memory.

The distributed operating system swaps the senses between local memory and remote memory as cache automatically at background.

By this way, you can regard the whole network as one host.
Without this, it is not true Cloud.

Basic AI

No matter the Mathlab solves the formulas or the Prolog drives the rules or Siri or Cortana processes the natural language, they are functions processing the strings as parameters. What I want is the processor directly runs in formulas, rules, and sentences as programs but not only processes the string as text.