In recent years, there has been rapid progress in designing artificial intelligence technology using neural networks that imitate brain circuits. One goal of this field of research is understanding the evolution of metamemory to use it to create artificial intelligence with a human-like mind. Metamemory is the process by which we ask ourselves whether we remember what we had for dinner yesterday and then use that memory to decide whether to eat something different tonight. While this may seem like a simple question, answering it involves a complex process. Metamemory is important because it involves a person having knowledge of their own memory capabilities and adjusting their behavior accordingly.

A team of researchers at the Graduate School of Informatics, Nagoya University, have brought us one step closer to the development of a neural network with metamemory through a computer-based evolution experiment. This type of neural network could help experts understand the evolution of metamemory, which could help develop artificial intelligence (AI) with a human-like mind. "In order to elucidate the evolutionary basis of the human mind and consciousness, it is important to understand metamemory," says Professor Arita. The team of researchers, which included Professor Takaya Arita, Yusuke Yamato, and Reiji Suzuki of the Graduate School of Informatics developed an artificial neural network model that performed the delayed matching-to-sample task and analyzed its behavior. The neural network was able to examine its memories, keep them, and separate outputs all without requiring assistance or human intervention.

In recent years, rapid progress has been made in the design of artificial intelligence technology using neural networks that mimic brain circuits. One of the goals of this area of research is to understand the evolution of metamemory in order to use it to create an artificial intelligence with a human-like mind. Metamemory is the process by which we ask ourselves if we remember what we ate for dinner yesterday, and then use that memory to decide whether to eat something different tonight. Although this may seem like a simple question, answering it involves a complex process. Metamemory is important because it involves a person knowing their own memory abilities and adjusting their behavior accordingly.

A team of researchers at the Graduate School of Informatics, Nagoya University, have brought us one step closer to the development of a neural network with metamemory through a computer-based evolution experiment. This type of neural network could help experts understand the evolution of metamemory, which could help develop artificial intelligence (AI) with a human-like mind.

A research group from the Graduate School of Informatics, Nagoya University, has taken a big step towards creating a neural network with metamemory through a computer-based evolution experiment. Their paper appears in Scientific Reports. In recent years, there has been rapid progress in designing artificial intelligence technology using neural networks that imitate brain circuits. One goal of this field of research is understanding the evolution of metamemory to use it to create artificial intelligence with a human-like mind. Metamemory is the process by which we ask ourselves whether we remember what we had for dinner yesterday and then use that memory to decide whether to eat something different tonight.

A research group from the Graduate School of Informatics, Nagoya University, has taken a big step towards creating a neural network with metamemory through a computer-based evolution experiment. In recent years, there has been rapid progress in designing artificial intelligence technology using neural networks that imitate brain circuits. One goal of this field of research is understanding the evolution of metamemory to use it to create artificial intelligence with a human-like mind. Metamemory is the process by which we ask ourselves whether we remember what we had for dinner yesterday and then use that memory to decide whether to eat something different tonight. While this may seem like a simple question, answering it involves a complex process.

"The biology of mind bridges the sciences -- concerned with the natural world -- and the humanities -- concerned with the meaning of human experience." Welcome to Part 3 of this new series exploring artificial general intelligence (AGI). If you missed Part 1 or Part 2, check them out; part 1 covers what AGI is, and part 2 is a brief overview of cognitive science for AI folk. This week we will introduce important concepts in philosophy of mind that I think every computer scientist, AI/ML researcher, or AGI enthusiast should know. The concept of minds--their nature, their implementation, their applications, etc.--are of huge interests to AGI researchers, and even anyone remotely interested in AI; arguably, this is the entire job of an AI/AGI researcher: creating artificial minds (some are just more narrow then others).

"The biology of mind bridges the sciences -- concerned with the natural world -- and the humanities -- concerned with the meaning of human experience." Welcome to Part 3 of this new series exploring artificial general intelligence (AGI). If you missed Part 1 or Part 2, check them out; part 1 covers what AGI is, and part 2 is a brief overview of cognitive science for AI folk. This week we will introduce important concepts in philosophy of mind that I think every computer scientist, AI/ML researcher, or AGI enthusiast should know. The concept of minds--their nature, their implementation, their applications, etc.--are of huge interests to AGI researchers, and even anyone remotely interested in AI; arguably, this is the entire job of an AI/AGI researcher: creating artificial minds (some are just more narrow then others).

The modern world's advances in artificial intelligence have left many grappling with some profoundly difficult ethical questions. Questions like: if a collision is unavoidable, should a driverless car swerve to hit two elderly women or one young man? AI language models can now finish your sentence ("I think that cats are … more than just a cute animal") or your paragraph ("They're also a wonderful source of nutrients.") Nudge the AI in the right direction and they'll even generate off-kilter academic papers, complete with citations of sources that might or might not exist. I've seen AI reference Australian philosopher Peter Singer's book The Life You Can Save.