Essay.03-FeiyangXie-2100017837
Keywords: Causality, Cognition, Perception
Abstract: Causality is the abstract notion of cause and effect derived from our perceived
environment. We can use causality as a prior foundation to construct notions of time
and space to explain observed phenomena and predict subsequent developments
in the current scene, etc. At the same time, obtaining and understanding causality
is also crucial for building general artificial intelligence. For instance, if an agent
cannot reason about the causes of human behavior, it would be unable to understand
intent and the effects of actions. However, how humans perceive causal relationships
remains controversial, with many compelling theories in this area. This article will
first explain the specificity of causal perception. It will then discuss two opposing
theories of causal perception - Cause Detector and Cause Schema. Finally, it will
consider whether causal perception is similar to color perception and look forward
to building a more reasonable human causal perception model.
Submission Number: 75
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