Keywords: Causality
Abstract: Causality is an essential part of human cognition, enabling us to understand the underlying causal structure of the environment. Investigating causality requires the creation of computational models that represent causal structures and causal relations. In this essay, we identified three features that a computational causal model should possess, including an explainable structure, a probabilistic representation, and the ability to incorporate prior information effectively. And we present a comprehend introduction of one computational causal model: Causal Bayes Net.
Submission Number: 62
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