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Abstract

ties of humans. Of course, they can complete complex mathematical calculations in milliseconds, but what if you tell a joke to the computer or play a love song? It won’t work.Therefore, even with the rapid development of artificial intelligence, whether AI systems can learn to create art is an open question. However, progress in areas not directly related to creativity still means that it is still possible. Algorithms have completed some of the most difficult logical puzzles designed by humans. Artificial intelligence systems are accepting the challenge of understanding language, such as torturing and killing the best human players in games, such as taking to the streets to prove how safe they are.Many of these skills are not far from the creativity itself. Especially language, language is very follow specific rules, but also allows artistic pursuits, such as storytelling and poetry.The power of human creativityIn view of the differences in these mental processes, the human brain is logical and creative, which is fascinating. Logic runs on a set of rules and procedures in an orderly manner. On the other hand, creativity and intuition can be messy, but straightforward.First, we should admit that there are at least two forms of creativity. We can call the ideas we think of when we take a shower in the shower room, for example, as creative examples of “a-ha”. Then, as we create, stretch our minds and improvise like a pianist. In both cases, focus and cognition are put aside, but emotional expression and subconsciousness are freely controlled.Thoughts wandering, this state of mind is to give up conscious thought and let the mind go wherever it is. This state has been linked to the creative process more than once. Ideas are pouring out of my head, stimulating something unexpected. Unlike mathematical formulas or logical structures, these processes are not easy to recreate in the form of calculations.Long ago, formal psychological research became creativity, and many artists were caught in the power of thought wandering. When the surrealist painter Salvador Dali was sitting in a chair, holding the key in his hand, he realized that in those happy moments before going to bed, when strange thoughts appeared, the key would fall and wake him up.However, not every showering process is considered a creative process. Some thoughts will be ridiculous when you think about it the next day, and some melody that came up in your head will be just a harsh noise. Some more subtle things are needed for creativity to reach the state of the art. The creator must understand these rules in order to destroy them effectively. They must have a feeling, a feeling or effect that suits them when creating. In this way, they are introducing new ideas into new ideas to some extent. Artists combine things in a new way and look at them from a new perspective, using materials that we are very familiar with, such as paints, phrases, melody and so on.</

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p>Jobs said before: “Creativity is just the ability to connect things.” Although he said “just”, it is actually much harder. It needs a purpose, a point, whether it is solving a problem or describing an idea. We can teach AI systems to group things together, such as images, tones, and words, but can AI be done in meaningful and clever ways?An attempt at artificial intelligence creativityResearching out how creativity works, and teaching it to intelligent machines, although extremely challenging, did not stop researchers from trying. At the beginning, I have seen examples of writing articles and songs using AI systems.Let’s talk about the visual arts. AARON was “born” in 1973 as an AI system created by artist Harold Cohen. In an interview with the BBC, Cohen said: “AARON has become self-sufficient.” But he also said that AARON is still a long way from truly human-like creations: “I don’t deny that at some point in the future, A machine can make some artistic things more complicated. These are much more complicated things than autonomous driving, but I don’t expect it to be achieved in this century.”Appreciate the art of machine creationAn important question remains: How do we feel the artwork made by smart machines? Will we appreciate its creativity and design?There is a school of thought that the value and significance of art are independent of its creator. On the other hand, many people believe that the story behind the art and information about the artist may influence our perception of the work of art. You can take a test like this: Imagine you are standing in front of a very famous work of art. Then someone tells you that this work is just a fake. Even if it is exactly the same as the original, do you still find it fun to appreciate it?Psychologist Paul Bloom pointed out in an interview that when showing people an object or face, what people value most is “people’s evaluation of it”, how do you evaluate them to describe the object or face? It has a great impact on them. A violinist played a piece of music at a subway station in Washington, and received $32 in consumption. No one told passers-by that the violinist is Joshua Bell, who has released more than 30 albums and performed in the White House. At Bell’s concerts, the average ticket price per ticket was more than$ 100! If passers-by knew his identity, would more people come to listen to the music he played at the subway station? The answer is very obvious.It will take a while for the AI system to learn creativityAs it is now, creativity is still human behavior. Although many AI systems are trying to create works of art, they still seem to fall short of the artist’s standards. It’s a good performance in music works, but in most other fields, the algorithm is still not satisfactory. But one thing is certain: as machines become smarter and more capable, they will get closer to true creativity.</article></body>

How Does An AI System Learn To Think Creatively?

In such a hot situation of artificial intelligence, there have been many examples of using AI systems to write articles, write songs, and create visual art, but the question is, can you tell whether they are created by humans or created by AI systems?

Gaetan Hadjeres and Francois Pachet from the Sony Computer Science Laboratory in Paris trained their AI system on a chorus song by Johann Sebastian Bach. Choosing these chorus songs, as the MIT Tech Review said, “because the production process is stepwise and uses algorithms.” Training this AI system uses 352 Bach songs, which are converted into different notes, a total of 2503 Works. These works made more than half of the 1,600 listeners (including professional musicians and music students) think that they were Bach’s works.

If it is the field of poetry, the AI system is even more challenging. In the competition held at Dartmouth College, the task of the judge is to read 14 lines of poems and the prescribed sentences of escort. Some are written by humans, and some are written by AI systems. In this case, all judges can identify which are written by humans and which are written by the AI system.

In addition, what will happen to using AI to generate novels? A machine learning enthusiast shared his novel “Harry Potter” written after training the AI system with deep learning algorithms, and the effect is relatively average.

So, will AI systems create works that can be equivalent to human creations? The answer is: You can first understand how humans think creatively through works created by humans.

Although humans’ rational thinking and mathematical abilities are innate, we still need to fully realize these abilities through education. So we study the laws of nature, logical puzzles, ethical dilemmas and so on. However, even the best of us can make strange and unreasonable decisions that give us all kinds of prejudices.

On the other hand, human emotion, intuition, and creativity only require a little formal training. Every child will laugh, cry, draw, create, question, explore, etc., let alone education. Education is used to shape these abilities, teach children to control their emotions, guide their creativity, and create with more precise and thoughtful considerations.

Can AI learn to create art?

The computer system is completely different. Their algorithm tasks perform well, but they lack most of the natural capabilities of humans. Of course, they can complete complex mathematical calculations in milliseconds, but what if you tell a joke to the computer or play a love song? It won’t work.

Therefore, even with the rapid development of artificial intelligence, whether AI systems can learn to create art is an open question. However, progress in areas not directly related to creativity still means that it is still possible. Algorithms have completed some of the most difficult logical puzzles designed by humans. Artificial intelligence systems are accepting the challenge of understanding language, such as torturing and killing the best human players in games, such as taking to the streets to prove how safe they are.

Many of these skills are not far from the creativity itself. Especially language, language is very follow specific rules, but also allows artistic pursuits, such as storytelling and poetry.

The power of human creativity

In view of the differences in these mental processes, the human brain is logical and creative, which is fascinating. Logic runs on a set of rules and procedures in an orderly manner. On the other hand, creativity and intuition can be messy, but straightforward.

First, we should admit that there are at least two forms of creativity. We can call the ideas we think of when we take a shower in the shower room, for example, as creative examples of “a-ha”. Then, as we create, stretch our minds and improvise like a pianist. In both cases, focus and cognition are put aside, but emotional expression and subconsciousness are freely controlled.

Thoughts wandering, this state of mind is to give up conscious thought and let the mind go wherever it is. This state has been linked to the creative process more than once. Ideas are pouring out of my head, stimulating something unexpected. Unlike mathematical formulas or logical structures, these processes are not easy to recreate in the form of calculations.

Long ago, formal psychological research became creativity, and many artists were caught in the power of thought wandering. When the surrealist painter Salvador Dali was sitting in a chair, holding the key in his hand, he realized that in those happy moments before going to bed, when strange thoughts appeared, the key would fall and wake him up.

However, not every showering process is considered a creative process. Some thoughts will be ridiculous when you think about it the next day, and some melody that came up in your head will be just a harsh noise. Some more subtle things are needed for creativity to reach the state of the art. The creator must understand these rules in order to destroy them effectively. They must have a feeling, a feeling or effect that suits them when creating. In this way, they are introducing new ideas into new ideas to some extent. Artists combine things in a new way and look at them from a new perspective, using materials that we are very familiar with, such as paints, phrases, melody and so on.

Jobs said before: “Creativity is just the ability to connect things.” Although he said “just”, it is actually much harder. It needs a purpose, a point, whether it is solving a problem or describing an idea. We can teach AI systems to group things together, such as images, tones, and words, but can AI be done in meaningful and clever ways?

An attempt at artificial intelligence creativity

Researching out how creativity works, and teaching it to intelligent machines, although extremely challenging, did not stop researchers from trying. At the beginning, I have seen examples of writing articles and songs using AI systems.

Let’s talk about the visual arts. AARON was “born” in 1973 as an AI system created by artist Harold Cohen. In an interview with the BBC, Cohen said: “AARON has become self-sufficient.” But he also said that AARON is still a long way from truly human-like creations: “I don’t deny that at some point in the future, A machine can make some artistic things more complicated. These are much more complicated things than autonomous driving, but I don’t expect it to be achieved in this century.”

Appreciate the art of machine creation

An important question remains: How do we feel the artwork made by smart machines? Will we appreciate its creativity and design?

There is a school of thought that the value and significance of art are independent of its creator. On the other hand, many people believe that the story behind the art and information about the artist may influence our perception of the work of art. You can take a test like this: Imagine you are standing in front of a very famous work of art. Then someone tells you that this work is just a fake. Even if it is exactly the same as the original, do you still find it fun to appreciate it?

Psychologist Paul Bloom pointed out in an interview that when showing people an object or face, what people value most is “people’s evaluation of it”, how do you evaluate them to describe the object or face? It has a great impact on them. A violinist played a piece of music at a subway station in Washington, and received $32 in consumption. No one told passers-by that the violinist is Joshua Bell, who has released more than 30 albums and performed in the White House. At Bell’s concerts, the average ticket price per ticket was more than $100! If passers-by knew his identity, would more people come to listen to the music he played at the subway station? The answer is very obvious.

It will take a while for the AI system to learn creativity

As it is now, creativity is still human behavior. Although many AI systems are trying to create works of art, they still seem to fall short of the artist’s standards. It’s a good performance in music works, but in most other fields, the algorithm is still not satisfactory. But one thing is certain: as machines become smarter and more capable, they will get closer to true creativity.