Essay.03-PenglinCai-2100017825
Keywords: Causality; Computational Model
Abstract: Humans learn to capture causality everywhere and everytime. As humans, sometimes we learn to model causality by concrete observations of scenes and states, and others we capture causality by learning abstract concepts. Inspired by this, we propose a possible way of designing a computational model that can capture the causal relation and structure, with a combination of concrete representation and abstract learning. We will further introduce four aspects of capture learning with detailed examples. Through these examples, we will have an insight of the necessity of these different aspects.
Submission Number: 63
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