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A new study from researchers at MIT and the University of Washington reveals an AI model that can accurately predict a person or a machine’s future actions.
The AI is known as the latent inference budget model (L-IBM). The study authors claim that L-IBM is better than other previously proposed frameworks capable of modeling human decision-making.
It works by examining past behavior, actions, and limitations linked to the thinking process of an agent (which could be either a human or another AI). The data or result obtained after the assessment is called the inference budget.
They used L-IBM to predict the moves of humanplayers in a chess game. “Our results show that suboptimal human decision-making can be efficiently modeled with computationally constrained versions …