论文标题
执行功能：通过事后摘要重新采样和重新采集的看法的对比价值政策？
Executive Function: A Contrastive Value Policy for Resampling and Relabeling Perceptions via Hindsight Summarization?
论文作者
论文摘要
我们从第一原则中开发了少数持续的学习任务，并假设执行功能的进化动机和行动机制是一种对比价值政策，该政策是通过事后见解总结重新示例和重新标记感知数据，以最大程度地减少参加预测错误，类似于在线及时工程问题。通过使用记忆策略和具有诱导性偏见的学习语法的验证网络，这是可行的，并接受了培训以最大化进化生存。我们展示了如何使用这种执行功能模型来实施假设检验作为意识流，并可以解释人类几乎没有学习和神经解剖学的观察。
We develop the few-shot continual learning task from first principles and hypothesize an evolutionary motivation and mechanism of action for executive function as a contrastive value policy which resamples and relabels perception data via hindsight summarization to minimize attended prediction error, similar to an online prompt engineering problem. This is made feasible by the use of a memory policy and a pretrained network with inductive biases for a grammar of learning and is trained to maximize evolutionary survival. We show how this model of executive function can be used to implement hypothesis testing as a stream of consciousness and may explain observations of human few-shot learning and neuroanatomy.
