In recent years, immediate advances have been made in the design of synthetic intelligence-generating neural networks that mimic brain circuits. One of the objectives of this domain of studies is to perceive the evolution of metamemory to use it to create synthetic intelligence with a human being. -like the mind.
Metareminiscence is the procedure through which we wonder if we won’t forget what we ate at dinner, and then use that reminiscence to make the decision to eat something different tonight. While this might seem like an undeniable question, answering it becomes a complex procedure. Metareminiscence is vital because it’s about a user knowing their own reminiscence talents and adjusting their habit accordingly.
“To elucidate the evolutionary basis of the human brain and consciousness, it is vital to perceive metamemory,” says lead author Professor Takaya Arita. “In fact, a human synthetic intelligence, with which one can interact and appreciate as a circle. of relatives in a person’s home, it is a synthetic intelligence that possesses a certain amount of metamemory, because it has the ability not to forget things that it has already heard or heard.
When reading the metamemory, the researchers employ a “deferred pattern-matching task. “In humans, this task involves the player seeing an object, such as a red circle, remembering it, and then performing a check to decide what he had in mind. the noted past of several similar objects. Right answers are rewarded and wrong answers are punished. However, the subject may decide not to take the check and still earn a smaller reward.
A human carrying out this task would naturally use his metamemory if he remembers seeing the object. smaller praise instead. Previous studies have reported that monkeys can also carry out this task.
The Nagoya University team, composed of Professor Takaya Arita, Yusuke Yamato and Reiji Suzuki of the Graduate School of Computer Science, created a synthetic neural network style that carried out the task of matching the pattern with delay and analyzed its behavior.
Although it started from random neural networks that didn’t even have a reminiscence function, the style was able to evolve to the point of running in the same way as monkeys in previous studies. The neural network can simply read about your memories, buy them, and separate them. the results. Intelligence capable of doing this without requiring any assistance or intervention from researchers, suggesting the plausibility of their metareminiscence mechanisms. to their environment through learning and evolution,” says Professor Arita about the discovery. “The key point is that synthetic intelligence learns and evolves to create a metareminiscence that adapts to its environment. “
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