User talk:Jingkai Chen

Group work article: Artificial imagination

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.