论文标题
在Aesop的寓言实验中，机器人具有语义 - 情节记忆的机器人的因果学习
Causal Learning by a Robot with Semantic-Episodic Memory in an Aesop's Fable Experiment
论文作者
论文摘要
Corvids，Apes和Children解决了乌鸦和投手任务（来自伊索的寓言），表明因果关系对任务有理解。通过累积与不同对象的相互作用，认知剂如何抽象潜在的因果关系以预测新物体的能力？我们通过在机器人上重新制定AESOP的寓言任务来解决这个问题，并介绍a）语义流行记忆的脑引导的神经模型； b）四个任务无知的学习规则，将过去情节与当前场景的期望进行比较，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；对新物体的预测融合到阿基米德的原理，与学习过程中所探索的对象及其累积探索的顺序无关。
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.
