论文标题
社会和个人学习相互作用的最小模型
A Minimal Model of the Interaction of Social and Individual learning
论文作者
论文摘要
社会，监督，向他人学习可能会扩大个人，可能是不受监督的，个人学习，并可能是文化的发展和演变的基础。我们研究了通过互动代理人无监督和社会监督学习的相互作用的最小模型。代理商试图学习跟踪隐藏的波动“源”，该“源”与其他掩蔽波动线性混合，产生了可观察到的输入向量。学习是仅由直接观察输入（无监督，hebbian）的直接观察来驱动的，或者是通过观察另一个代理商的产出（有监督的，三角洲规则）来驱动的。为了增强生物现实主义，学习规则被稍微特定于联系，因此有时会发生错误的学习。我们发现社交互动可以培养正确和错误的学习。因此，有用的社会学习可能涉及我们概述的其他一些因素。
Social, supervised, learning from others might amplify individual, possibly unsupervised, learning by individuals, and might underlie the development and evolution of culture. We studied a minimal model of the interaction of individual unsupervised and social supervised learning by interacting agents. Agents attempted to learn to track a hidden fluctuation "source", which, linearly mixed with other masking fluctuations, generated observable input vectors. Learning was driven either solely by direct observation of inputs (unsupervised, Hebbian) or, in addition, by observation of another agent's output (supervised, Delta rule). To enhance biological realism, the learning rules were made slightly connection-inspecific, so that incorrect learning sometimes occurs. We found that social interaction can foster both correct and incorrect learning. Useful social learning therefore presumably involves additional factors some of which we outline.
