Schizophrenic robot

Researchers at the University of Texas at Austin and Yale University used a neural network called DISCERN to teach the system certain stories. To simulate an excess of dopamine and a process called hyperlearning, they told the system to not forget as many details. The results were that the system displayed schizophrenic-like symptoms and began inserting itself into the stories. It even claimed responsibility for a terrorist bombing in one of the stories.

Computer networks that can't forget fast enough can show symptoms of a kind of virtual schizophrenia, giving researchers further clues to the inner workings of schizophrenic brains, researchers at The University of Texas at Austin and Yale University have found.

The researchers used a virtual computer model, or "neural network," to simulate the excessive release of dopamine in the brain. They found that the network recalled memories in a distinctly schizophrenic-like fashion.

After being re-trained with the elevated learning rate, DISCERN began putting itself at the center of fantastical, delusional stories that incorporated elements from other stories it had been told to recall. In one answer, for instance, DISCERN claimed responsibility for a terrorist bombing.

Source & more info: The University of Texas