Work

The seven tools of causal inference, with reflections on machine learning

Year: 2019

Type: article

Abstract: The kind of causal inference seen in natural human thought can be "algorithmitized" to help produce human-level machine intelligence.

Source: Communications of the ACM

DOI: 10.1145/3241036

Author: Judea Pearl

Institution: University of California, Los Angeles

Language: English

Topic: Bayesian Modeling and Causal Inference

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: bronze

Funders: National Science Foundation, Defense Advanced Research Projects Agency, University of California, Los Angeles, Advanced Research Projects Agency, Office of Naval Research

Awards: RI: Medium: Collaborative Research: Causal Inference: Identification, Learning, and Decision-Making, G1390332038, G2448503749, III: Medium: Meta-analysis reinterpreted using causal graphs, RI: Small: Inference with Incomplete Data, G8876996369

OpenAlex ID: W2917286209

FWCI: 31.34

Cites: 43

Cited by: 658

Related to: 10