Sense

A most basic sense unit is a reference point as entrance on an one-dimensional linear memory array, two directions from this point: one side is value array; the other side is linkage array. Use this particle to organize the Sense graph.

Computer companies have experienced removing the office and changing it to the server room, and then removing the server room to free up the space because all the computers are planarized on walls, floors, and ceilings. 

In this way in offices, factories, stores, homes, etc., the hardware of the Cloud will be distributed anywhere, not only limited to the center.  

And then by redesigning the software operating system of the Cloud to be dynamically distributed to avoid the communication bottleneck to make the metaverse easier to come true. 

The internal code of the document is the sense list, the internal code of the virtual reality is the sense graph, and the list is a subset of graph, so only one internal code type is needed: sense graph. The presentation of the internal code is the so called pattern, and the so called recognition and synthesis are the transform between the two data types: sense graph and pattern.

Kio estas la Ron-lingvo? Biologia neŭrala informo estas speco de Ron-lingvo, sed Ron-lingvo ne estas limigita al la lingvo de rekta neŭrala informo. Oni povas ankaŭ diri, ke Ron-lingvo ne estas limigita al iu unuopa formo de ondo-informo kiel teksto, simboloj, sono, bildoj... ktp. La Ron-lingvo estas ampleksa padronlingvo.

sen

aŭtoj sen radoj 

aviadiloj sen surteriĝo

uzantinterfaco sen redaktilo

procesoro sen programkalkulilo

The software of Turing machine is an instruction sequence; the software of the graph machine is a multiple graph. The nodes of the graph distributing on grid chips move with traffic, configurable amount, and performance in real time. There are multiple requests to move in different directions, so do not move the nodes and just cache out their clones.

The collection graph in the Sense graph

There is no container class of the traditional object system because the collection graph in the sense graph already has satisfied originally.

New software making way wanted

The traditional way of making software is to write a whole document and hand it over to the compiler to convert to a sequence of instruction codes. 

What we want is to generate and modify the software in frequent interactive conversations during runtime. 

The software is composed of Senses. 

Everything is Sense, all time is runtime.

Design in an editor, save to a file, and then load the file to the other simulator. That is an old generation way. 

The new generation way is: designing and simulating, all of interactions are in the same distributing virtual reality by the access permission management without any file loading and saving. 

Distributed Operation

host#1'operand#1 + host#2'operand#2

+ 是1号机1号元的 operator 与其同在一号机，所以现在有2个 senses 在1号机、1个 sense 在2号机，要怎么执行这个跨机的 distributed operation ？

在2号机对1号机使用 WCF service 下这道式子会先把1号机1号元下载到2号机然后才和2号机2号元一起当作远端呼叫1号机 operator + 的 parameters 上传到1号机，1号机1号元被下载了又上传多此一举白费流量，你会说还不如传 request 给 1号机的 Web server 呼叫 Servlet 在1号机执行。但若2号机2号元的 size 大于1号机1号元与 operator + 是否就不如将 operator + 下载到2号机执行？如 Applet 的做法 ( 把 Applet 看作是一个大 operator ) 。三种架构分别，但软件在跑一下是这情况一下是那情况，这就是为何要丢掉传统架构全面采用 DDA 架构。

Sense space

• 无论 Sense 结构如何进化，其基本都是 graphs，只要 graph 中一 node 在 memory 被 refer 到即将其第一阶链结到的 nodes 从 storage 预载到 memory，如此即确保要 refer 到的 sense 都已在 memory，因一个 sense 定是透过另一个 sense 来 refer。

• 在 memory 中的 sense 获得更新则立即更新 storage 中的 sense ，因为还有别的 memory 在 cache 相同的 storage，所以也必须一併更新所有 cache。

• 当 memory 满时由 rerefer 频率少的 sense 优先 release 腾出空间。

如此外界仅存取 memory 而不直接触及 storage，于是不再有 storage I/O 的观念。

而将网络另一端的 memory 也如对 storage 般对待，于是不再有 network I/O 的观念。

这机制让每一运算机皆为一镜像平行宇宙，每一空间发生的变化都会在其它所有镜像空间同步发生。但其实一个空间并装不下整个宇宙，每个空间实际上只存有局部视野所及的宇宙，是随着视野的移动来由其它平行空间载入其余局部而移出视野的局部实际会在该空间消失但前提是先确保消失的局部有存在另外任一平行空间，于是所有平行空间联集起来是为完整的宇宙。相同的事件在不同的平行空间发生都会有相同的结果镜像到所有的平行空间，但在不同的平行空间触发所花费的时间可能不同而最终成为整体的费时，所以要选择在费时最少的平行空间触发事件以获得最少的整体费时。事件由一组 Senses 构成，每个 Sense 的本尊只会存在其中一个平行空间，其余平行空间的皆为分身。无论本尊位何，所有 Senses 一列排开何者 loading 最大就优先到何者本尊所在之平行空间去进行事件的发生方能让镜像映射所费最少，再者优先选择 performance 最高、space 最大、bandwidth 最大的平行空间触发，那才是原始真实的发生，其余平行空间的皆为结果的镜像。而每一 Sense 本身又是由一群 Senses 组成，所以一件事情的发生实际上是在好几个平行宇宙分部进行再将镜像联集起来。

在任一端将 operands 接上 operators，每一端都会立即同步这个结果，然后每一端都会因为 senses 的相接起了连锁反应也就是运算被触发跑了起来，但每一端运行速度又不一，在速度不一非同步的情况下任一端的变化又会立即更新每一端，那就大乱了，所以每一端都有一个反应前的抑制措施：每一端都各自进行哪个 sense 的 body size 最大的判断，仅在最大的那个 sense 的本尊在己端的前提下才触发。这只是决定在哪端运行的初步判断，作用是让 size 小的 sense body 缓存到 size 大的本尊所在处以使传输耗费最低，进一步还要把 performance、space、bandwidth 三个因素考虑进来，所以至此尚未确定要在此端触发运行。

把 sense 给 lock 住让 operation 进入 critical session 的方式很容易发生过长时独占导致的等待甚至 dead lock，所以当要让多端同时进行同一 operation 以达验算之效时采暂时产生一个 sense 的 clone 转而对其操作之方式在整个 operation 完成后才以 clone 去更新原 sense 然后删掉 clone。

平行空间断链没同步就会分歧出不同版本的 senses，分歧的平行空间合得回来吗？Sense 原本就可以鸟生蛋、蛋生鸟对不同的 senses 进行融合：取交集为 class sense、保留差集为 instance sense，所以并不是无解的问题。

P2P ≠ C2C

Peer 2 Peer ≠ Client 2 Client，大机和大机、大机和小机之间亦是P2P，Cloud 精髄不在 service 而在 Dynamic Distributing Allocating 。

Sen语 Ron语

Sen语持续进展中，但Sen语不是一种语，而是一种说Sen语当中亦可构建Sen语的动态语言机制，Sen语本身是由多Sen组成。Sen语若行于SenGo硬件(SenG之Go年进化版，年底才会推出)则原生即具operand与operator级的并行性无需再指定。

另一个是Ron语，不像Sen语是由概念组成的语言，Ron语基本上是signal、是pattern，或许已不算是一种言语而比较像是一种不说话的感官沟通方式，但又有部分可形成operand与operator的sense。Ron语目前尚只是想法，也还没想清楚，尚未着手开发。

About the user interface without editors

Just use the GUI or VRUI components except text editor component to travel the sense graph to select senses to compose a sentence to have the conversation with the space object without 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.

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.

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.

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.