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An AI model has been able to predict the choices made by monkeys and their eye movements while playing Pac-Man, suggesting that machine intelligence can exhibit similar thinking patterns to mammals. Traditionally, in the game of Pac-Man, players are tasked with collecting dots within a maze while avoiding capture by ghosts. In this study, researcher Tianming Yang and his team at the Chinese Academy of Sciences trained two rhesus monkeys to play Pac-Man.
The monkeys were rewarded with juice for successfully collecting all the dots and evading capture by ghosts. Additionally, they were incentivized to have Pac-Man consume the ghosts after consuming a special dot that made them vulnerable. . .
Brief news summary
Researchers at the Chinese Academy of Sciences trained two monkeys to play Pac-Man and observed their eye movements while playing the game. They found that an AI model accurately predicted the monkeys' choices and eye movements, suggesting that machine intelligence can think similarly to mammals. The monkeys were rewarded with juice for collecting dots and avoiding ghosts in the game. Additionally, the AI model learned to identify when Pac-Man could eat the ghosts.
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