Researchers from the Helmholtz Center in Munich have developed an AI model called Centaur that remarkably mimics human decision-making and behavior. The model was trained on millions of decisions collected from psychological experiments, using data from 60,000 participants across 160 different studies. Based on Meta’s LLaMA system, Centaur was further fine-tuned to learn patterns in human choices.
The results are striking—Centaur accurately predicted human decisions and behaviors even in tasks it hadn’t encountered before. Compared to 14 traditional cognitive models, Centaur outperformed them in 31 out of 32 tasks, including simulations involving gambling, memory, and problem-solving.
What makes this model particularly valuable is its use of a “virtual laboratory,” allowing researchers to test psychological theories and better understand mental processes without the need for long and costly studies.
Centaur’s accuracy suggests that human cognition and decision-making may be far more predictable than previously believed—opening the door to developing more advanced models that not only understand but also simulate human psychology with impressive precision.
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