Engineers are now teaching how computer systems feel "regret" emotions so that robots operate faster and predict before events occur.
It is reported that researchers at Tel Aviv University in Israel are developing a program that will ask computers to try to do something, and only when they are deliberately defeated. By understanding the difference between the desired outcome and the reality, the robot will learn a series of "regret" emotions and how to minimize this emotion.
A robotic computer system that experiences "regret" emotions will be less likely to make the same mistakes in the future and operate more efficiently. By considering all possible outcomes, robotic computer systems can also predict the future, and they can successfully calculate the most likely conditions before an event occurs.
Researchers working on the study admit that the technology is not exactly equivalent to the artificial intelligence described in science fiction movies. Instead, they claim that this may be the first step in the future development of robots with human emotions. Yishay Mansour of the University of Tel Aviv, Bravatnik Computational Science, led a team of computer engineers to conduct this research. He has developed an algorithm based on machine learning to minimize virtual regrets.
This algorithm is appropriate for the upcoming situation, meaning that it can be effectively "acquired" with the occurrence of an event. When the task is completed, the research results will almost become all variables that people know in advance.
The "regret" program is highly efficient and helps companies such as Google predict the effectiveness of their advertising tools. Professor Mansour said: "For example, if the Internet's services and routing system can see and evaluate all relevant variables in advance, they will more efficiently give requests for server resources, download documents and access Internet sites."
He emphasized that such computer systems allow them to change and influence computer decisions in real time. Contrast with humans to help the system process all valid information faster and evaluate the future.
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