摘要 There has been much interest in understanding the

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論文資訊

• 類型：已發表論文
• 日期：2012

摘要

There has been much interest in understanding the 演化 of 社會 learning. Investigators have tried to understand when 自然選擇 will favor individuals who imitate others, how imitators should deal with the fact that available models may exhibit different behaviors, and how 社會 and individual learning should interact. In all of this work, 社會 learning and individual learning have been treated as alternative, conceptually distinct processes. Here we present a 貝氏 model in which both individual and 社會 learning arise from a single inferential process. Individuals use 貝氏 inference to combine 社會 and non社會 cues about the current state of the environment. This model indicates that 自然選擇 favors individuals who place heavy weight on 社會 cues when the environment changes slowly or when its state cannot be well pred

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