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An AI model is being trained to solve complex, multi-step logic puzzles. During training, instead of only being told whether its final answer is correct, the model receives a positive signal for each logically sound deduction it makes along the way, and a negative signal for any step that contains a fallacy, regardless of the final conclusion. Which feedback mechanism does this training process exemplify?
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An AI model is being trained to solve complex, multi-step logic puzzles. During training, instead of only being told whether its final answer is correct, the model receives a positive signal for each logically sound deduction it makes along the way, and a negative signal for any step that contains a fallacy, regardless of the final conclusion. Which feedback mechanism does this training process exemplify?