上級分類: 教育終身學習

賦予人類思考和決定的能力

YAML 問題

In a sense, you are what you decide. However, to grasp the context of all that truly matters, people need the ability to consume and process data from a variety of sources in real time, and compute with it. Human brains are not adapted to do this rate of new information, and so, various systems exist to answer specific questions. However, there is no single tool to coherently combine them all the personal research that individuals have into their personal, reusable, actionable and programmable digital assets, which, at individual level, prevents them from competing with large organizations, that do have advanced decision support systems.

We need to empower individual humans to think and decide with automated data acquistion and reasoning systems, so that they stay relevant in age of information explosion, and the rise of AI-powered organizations.




投票 (可選) (別通知) (可選)
請,登錄

[標記爲重要],這可以是標籤嗎?

[marked-as-important], could this be a tag?


人類會影響所有物種在地球上的生命,因此使人們能夠更好地思考至關重要。

“沒有一個單一的工具可以將個人擁有的所有個人研究統一地整合到他們的個人,可重用,可操作和可編程的數字資產中”

-將知識和專有技術組織到個人圖書館中的工具將很有幫助。

Humans impact life on Earth for all species, so it is key to enable people to think better.

"there is no single tool to coherently combine them all the personal research that individuals have into their personal, reusable, actionable and programmable digital assets" -- A tool for organising knowledge and know-how into personal libraries would be helpful.


好吧,到目前爲止,最好的是某些筆記系統。有些比其他人更接近理想。例如,[zim-wiki.org](https://zim-wiki.org)非常適合臺式機以及沒有編碼技能的人。諸如Dynalist mobile之類的東西首先是離線的,這意味着您可以在離線時,在某些叢林或地鐵中做筆記。但是,在這兩種系統中,您實際上都無法回覆電子郵件或執行其他高級操作,例如可以使用Telegram機器人執行的操作。現在,想象一下您的知識系統(例如Dynalist)在某些列表(例如,來自Malibox的電子郵件列表)中具有Telegram機器人等東西,可以讓您對它們進行操作。這就是我們想要的個人和私人知識,即能夠直接從遠程系統上對操作進行操作的能力。理想情況下,這可以通過一堆開源驅動程序來實現,我預想它可能是[metadrive](/ project / 854 / Metadrive)的應用程序之一,但尚未投入生產。但是,我認爲最好以一種簡單的方式讓我們能夠輕鬆掌握所有需要思考和決定的系統。

Well, at this point, the best that is out there, is certain note-taking systems. Some come close to the ideal than others. For example, zim-wiki.org is pretty good for desktop, and for people without coding skills. Something like, e.g., Dynalist mobile is off-line first, meaning you can make notes while offline, in some jungle or a subway. However, in neither of these systems you can actually reply to your e-mails, or do other advanced actions, like those that you can do with Telegram bots. Now, imagine that your knowledge system (something like Dynalist) had something like Telegram bots for certain lists (e.g., list of E-mails from your malibox), that let you call actions on them. That is what we'd want in the personal and private knowledge, -- ability to take actions on remote systems directly from it. That would ideally be implemented by a bunch of open source drivers, and I envision that could be one of the applications for the metadrive, which is still not production-ready. However, I think it would be great to have all systems that we need to think and decide at the user's fingertips, in a simple way.


我研究了兩個系統來幫助決定

一個叫做fact collector,另一個叫做correlation engine

I worked on two systems to help deciding

one is called fact collector and the other is correlation engine



    : Mindey
    :  -- 
    :  -- 
    

chronological,
[+]

如果有人認爲思考是說話,那麼您可以將思考視爲查詢創建。

你探索一個想法並使用“作爲”這個詞。

因此,想象人們被聯網,而溝通是人與人之間的聯繫。將人們組合成一個完全鏈接的網格,你就有了彈性的溝通。

這是一種“作爲”的想法——將一件事視爲另一件事。

從這裏開始,我們依靠前件式、前件式和溯因推理、歸納推理和演繹推理來隔離我們思維的效果或意義。

人們需要擅長查詢創建才能更好地思考。

當我創建事實收集器時,我可以使用邏輯編程語言序言對任意事實進行推理。我制定了一條規則,如果我喜歡的人不喜歡我,那麼我要小心他們。該規則表示爲

推理 and(likes(sam, X), \ (likes(X, sam))).",

其中 \ 表示“不”。

如果你能想到好的查詢,你就能有效地思考。生成假設問題。有大量數據可以用來讓人們更快樂地過更有意義、有目的的存在

If someone thinks of thinking as talking, then you can think of thinking as query creation.

You explore a thought and you use the word "as".

So imagine people being networked and communication being links between people. Combine people into a fully linked lattice and you have a resilient communication.

This is an "as" thought - seeing one thing as another thing.

From here we rely on modus ponens, modus tollens and abductive and inductive and deductive reasoning to isolate effects or meaning of our thinking.

People need to get good at query creation to think better.

When I created fact collector I could reason over arbitrary facts using a logic programming language prolog. I created a rule that was if someone I liked doesn't like me then I am to be cautious of them. This rule was represented as

Inference and(likes(sam, X), +(likes(X, sam))).",

Where + means "not".

If you can think of good queries you can think effectively. Generate what if questions. There is an abundance of data that could be used to cause people to be happier live more meaningful purposeful existences


語言