伊索寓言实验中语义-情景记忆机器人的因果学习
Causal Learning by a Robot with Semantic-Episodic Memory in an Aesop's Fable Experiment
摘要：
乌鸦，猿，和儿童解决乌鸦和投手的任务（从伊索寓言）表明一个因果关系的理解任务。通过与不同对象的累积交互，认知主体如何抽象出潜在的因果关系来预测新对象的启示？我们通过在机器人上重新制定伊索寓言任务来解决这个问题，并提出a）语义情景记忆的脑引导神经模型; b）四个任务不可知的学习规则，这些规则将回忆过去的情景与当前情景进行比较，以逐步提取隐藏的因果关系。随后的机器人行为说明了因果学习;对新对象的预测收敛到阿基米德原理，独立于学习过程中探索的对象及其累积探索的顺序。
英文摘要：
Corvids, apes, and children solve The Crow and The Pitcher task (from Aesop's Fables) indicating a causal understanding of the task. By cumulatively interacting with different objects, how can cognitive agents abstract the underlying cause-effect relations to predict affordances of novel objects? We address this question by re-enacting the Aesop's Fable task on a robot and present a) a brain-guided neural model of semantic-episodic memory; with b) four task-agnostic learning rules that compare expectations from recalled past episodes with the current scenario to progressively extract the hidden causal relations. The ensuing robot behaviours illustrate causal learning; and predictions for novel objects converge to Archimedes' principle, independent of both the objects explored during learning and the order of their cumulative exploration.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
