User talk:Jingkai Chen/sandbox

General Artificial Imagination

Artificial imagination has more general definition and wide applications. The traditional fields of artificial imagination include visual imagination and aural imagination. More generally, all the actions to form ideas, images and concepts can be linked to imagination. Thus, artificial imagination means more than only generating graphs. For example, moral imagination is a very important research sub filed of artificial imagination, although classification of artificial imagination is difficult.  Moral is a very important part to human beings' logic, while artificial moral is very important in artificial imagination and artificial intelligence. A common criticism of artificial intelligence is that machines‘ mistake or decisions should blame for human beings and how do develop well-behaved machines. As nobody can give a clear description of the best moral rules, it is impossible to create machines with commonly accepted moral rules. However, recent research about the artificial moral circumvent the definition of moral. Instead, machine learning methods are applied to train machines to imitate humans' moral. As the data about moral decisions from thousands of different people are considered, the trained moral model can reflect widely accepted rules.  Memory is another big filed of artificial imagination. Researchers like Dr. Aude Oliva have done a lot of work on artificial memory especially visual memory. Compared to visual imagination, the visual memory focuses more on how machine understand, analyses and store pictures in human way. In addition, characters like spatial features are also considered. As this filed needs ideas from brains' biological structures, extensive research on neuroscience has also been done, which makes it a big intersection between biology and computer science.

The following is the peer review content by Yifeng Qi

[This wiki passage is done very well: it is well-organized in Wiki format; all the citation is clear and informative; All the passage is very detailed and concrete. The thing I found that may have space to revise is that the passage, especially the introduction paragraph, is not very logic--it seems that all the information are cut into pieces and listed independently. So I think it will be better if all the information could be written following a clue. -Yifeng Qi] — Preceding unsigned comment added by Yifeng Qi (talk • contribs) 22:03, 22 November 2016 (UTC)

by Kenji Chigusa

Overall, contents are sufficiently expanded and well edited. As an introductory paragraph, it might be helpful for readers to put some statements in "general artificial imagination" part on top. EX) Artificial imagination has more general definition and wide applications. The traditional fields of artificial imagination include visual imagination and aural imagination. More generally, all the actions to form ideas, images and concepts can be linked to imagination. Thus, artificial imagination means more than only generating graphs. For example, moral imagination is an important research sub filed of artificial imagination, although classification of artificial imagination is difficult.

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Oh, are these original statements??---------------------------------

[There seem to be some unnecessary links such as machine, computer program and research. Do we need this kind of link for basic terms? -Kenji]

Artificial imagination (AIm), also called Synthetic imagination or machine imagination,[Might be better -Kenji] is defined as artificial simulation of human imagination by general or special purpose computers or artificial neural networks. — Preceding unsigned comment added by Kenji Chigusa (talk • contribs) 14:12, 23 November 2016 (UTC)

The term artificial imagination is also used to describe a property of machines or programs: Among some of the traits that researchers hope to simulate using machines include creativity, vision, digital art, humor, satire, etc.[Academic?-Kenji]

The [Do we need "the" here? -Kenji]various practitioners in the field are researching various aspects of Artificial imagination, such as Artificial (visual) imagination,[1] Artificial (aural) Imagination,[2] modeling/filtering content based on human emotions[3] and Interactive Search.[4] Some articles on the topic speculate on how artificial imagination may evolve to create an artificial world which people may not want to leave at all. .[5]

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The interactive search has developed in the mid-1990s, accompany[WF? -Kenji] by the web development and optimization of search engines.

The user would select several relevant images, and then the technology analysis[WF? -Kenji] these selections and reorganized the ranks images to fit the query.

[Could you add some citations for statements below? -Kenji] Moral is an important part to human beings' logic, while artificial moral is important in artificial imagination and artificial intelligence. A common criticism of artificial intelligence is that machines‘ mistake or decisions should blame for human beings and how do develop well-behaved machines. As nobody can give a clear description of the best moral rules, it is impossible to create machines with commonly accepted moral rules. However, recent research about the artificial moral circumvent the definition of moral. Instead, machine learning methods are applied to train machines to imitate humans' moral. As the data about moral decisions from thousands of different people are considered, the trained moral model can reflect widely accepted rules.