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CLeaR 2022

Info Intervention and its Causal Calculus

Conference Paper Artificial Intelligence · Causal Inference · Machine Learning

Abstract

The potential outcome framework and structural causal model are two main frameworks for causal modeling, and there are efforts to combine the merits of each framework, such single world intervention graph (SWIG) and its potential outcome calculus. In this paper, we propose the info intervention inspired by understanding as information transfer, and the corresponding causal calculus. On one hand, We explain its connection with do calculus; On the other hand, our info calculus has the same convenience of checking conditional independence as SWIG, and moreover owns a operator σ(·) for formalizing causal queries.

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Context

Venue
Conference on Causal Learning and Reasoning
Archive span
2022-2026
Indexed papers
101
Paper id
318534571892932675
v2026.09.13