This means that when the error rate is less than or equal to 0.01, the influence of the learning error on the number of total words is insignificant, while if the error rate is 0.1, it becomes non-negligible, and for 0.5, it becomes quite significant, which means that it generates more words for agents to store in their memories temporarily (but they will be dropped finally).
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