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Three Modern Roles for Logic in AI

Summary: Argues tractable Boolean circuits as a unifying foundation for modern AI: logic-as-computation (circuit-based, tractable inference) and logic-as-learning (hybrid models combining data with symbolic knowledge). Also advances logic-as-reasoning to formally analyze and verify ML behavior. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1802
Venue
PODS
Year
2020
Pagerank
4.469173e-05
Overall Rank
8,681 | 39.61%
DOI
10.1145/3375395.3389131

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
4,787 The Relational Data Borg is Learning 2020 VLDB 5.9224501e-05
8,883 Optimizing Parallel Recursive Datalog Evaluation on Multicore Machines 2022 SIGMOD 4.4285471e-05
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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