The future of big data-Thoughts on personal information/intelligence/cognitive services

Source: Internet
Author: User

1. Everything about big data in the future is about people.

... Not discussed


The source of big data is to collect user data through its own platform. It is difficult for enterprises without platforms to have mechanisms and channels to obtain stable data sources,

It is said that, through laws and regulations, the only feasible direction for regulating the use of big data for people is to make the use of user big data a mandatory service function, to use the service, you must accept private sharing.

 

3. Use of big data

Nowadays, big data is aggregated from various types of data to draw a type of conclusions about people and then used by enterprises.
I think there is another type of big data application.
Use big data on the Internet to tell people or even people what is happening in the world and what will happen in the future.

 

4. sci-fi movies

If you download an exclusive virtual character (Virtual robot/virtual assistant/lifetime AI companion) from the Internet to your mobile phone
At the beginning, you need to teach this role (configuration, similar to the early learning phase of Speech Recognition Control) to help you do some simple things on the Internet,
As you teach more and better (collect information such as your habits, interests, thinking patterns, and reception) and increase your big data-based mining and analysis capabilities, its intelligence is getting higher and higher, and it can do more complex tasks (as an entry point, representing your Internet activities ),
Until many years later, it has more intelligence than you. It can tell you what is happening in the world, what is going to happen in the future, how you age, and how you behave, understanding Your economic capabilities, understanding your shortcomings, serving you at all times, expanding your life, making your life more limited to experience (online), thinking (online ), to make a better life (to help you discover opportunities ).

After similar things, I discovered that the second generation of Microsoft xiaoice was already working on it. Maybe the vision and purpose are different, but the outline is there.

 

5. Cognitive needs

When we grow up, parents often say "You Know Something", but no one can teach us how to "understand things" or tell us how to do it (read books, experience life and experience life );

After graduation and work, we still met in our society. "masters of various successful learning", "experts in various fields", "teachers from various forums", and "Reincarnation of God sticks" are widely used;

All this is because people have cognitive needs.

 

6. Cognitive Training

Based on this demand, even if the "cognitive service" cannot be automated, even if it is a human service, it can take a way out in the current education market (schools, interest training, English training, and other skills training ).

 

7. Cognitive Models and three points of cognitive world

In [Women, fire, and dangerous things] ([Women fire and dangerous things,
Idealized Cognitive Models (ICMS) is a complex perception and a global representation of the world. Its value lies in restructuring the input information. ICMs does not exist objectively, but is a high-level generalization and summarization of human practices and experiences, and can provide reference for future practices. According to Lakoff's discussion, iMCS has four types: proposition model, intention schema model, metaphor model, and metaphorical model. Their relationships are as follows:

 

The proposition model is the starting point and destination, the Image Schema Model is the basis, and the metaphorical model and the metaphor model are the processes and methods of cognitive things built on the proposition model and the Image Schema Model, and they interact with each other.

The cognitive world of any cognitive subject can be divided into three parts: "belief world", "doubt world", and "ignorance World ". We use WB to represent the world of belief, WD to doubt the world, and Wu to represent the world of ignorance. WB, WD, and Wu are three sets of propositions. Their elements are corresponding cognitive propositions. Simply put, the world of belief is composed of the propositions that the cognitive subject believes. These propositions constitute the beliefs of the cognitive subject. All the propositions in the world of doubt are those of the cognitive world, cognitive subjects think that these propositions are "false" or "impossible". These propositions can be called "doubts". The propositions that cognitive subjects have never "considered" constitute the content of the ignorant world, these propositions (and their negative propositions) have not yet entered the horizon of the cognitive subject, or although they have entered the horizon of the cognitive subject, the cognitive subject does not know its meaning. At this time, cognitive subjects neither believe nor doubt this. These propositions can be called "Blind spots ".

 

8. cognition of the Internet world and further cognition of the real world

The Internet world has always been a ing of the Internet world. More and more real-world things have established a digital ing in the Internet world. The future of big data is to analyze what happened in the real world through these big data, what will happen in the future? It is possible that inequality in data access will replace inequality in capital, mental power, and wisdom.

 

9. Packaged Products-cognitive world + personality data = lifelong AI companion with similar personality

 

10. cognition of the world through logical reasoning -- a three-Field Theory of Aristotle

The classic theory of "Barbara" given by Aristotle:

If all (m) are dead (p), (premise)
And all Greek (s) are people (m), (small premise)
Then all the Greek (s) will die (P ). (Conclusion)
For example,

Everyone will die. (General principle)
Socrates is a man. (Special statement)
Socrates will die. [Replace special (small) proxies with General (large) Proxies]
Another example,

The law stipulates that such behaviors are legally liable,

He/she makes such behavior as prescribed by law

He/she is responsible for this legal liability"

 

It can be seen from the above that the trigger theory consists of three parts: the premise, the premise, and the conclusion. It is logically derived from the premise and the premise. The premise is the general principle. The premise is a special statement. Logically, the conclusion is obtained based on the premise of application.

The opposite is metaphor,
Grass (p) will die (m ).
People (s) will die (m ).
People (s) are grass (P ).
This is another form of field theory. It is a logical paradox: This form of field theory is logically invalid, but even this logic-based ineffective reasoning is also a manifestation of artificial intelligence.

To gain the ability to recognize the Internet world, we can obtain theoretical support from philosophy, such as the "three-part theory" and "three-part cognitive world ",

We use a finite set of "Big premise sets [Proposition sets]" to form the "initial belief world", big premise, small premise, corresponding to the [Image Schema Model] logical derivation is the "proposition model ", the final result is "the proposition is considered true and then join the" World of belief ".

The metaphor [A set of propositions in the belief world + a new proposition] is used to deduce the "Skeptical world", and the rest is the "ignorant world". For this world, as the real world becomes more and more digitalized, The ing of the Internet world to the real world will become more and more complete, and the "ignorant world" will become smaller and smaller.

For example,

Fruit is edible [belief in the existence of the world]

Apple is a fruit. [belief in the existence of the world]

Apple can eat [cognitive propositions]-> [join the world of belief]

 

Apple can eat [belief in the existence of the world]

Apple is red [belief in the existence of the world]

Tomatoes are red [metaphor]

Tomatoes are edible [cognitive propositions]-> [join in the skeptical world]

 

10. What mechanisms and technologies are required?

You do not need to create your own database, but you only need to have conclusions and cognitive processes.

The ability to collect intelligence (establish channels with various intelligence sources to identify the same intelligence)

Need to have the cognitive ability to intelligence (classification, push, trigger, and trigger)

Xuybin: The title is very big, the content is not systematic, purely think notes, if reprinted indicate the source of http://www.cnblogs.com/xuybin/p/3966022.html

 

11. Cloud computing + Big Data + Data Mining + cognitive capability + Learning Mechanism

How long does it take to grow to 1 2 ~ What is the limit for smart 3-year-old children?

 

The future of big data-Thoughts on personal information/intelligence/cognitive services

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