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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
1834
Venue
PODS
Year
2020
Pagerank
5.3650264e-05
Overall Rank
8,705 | 40.49%
DOI
10.1145/3375395.3389131

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{darwiche_pods20,
        address = {New York, NY, USA},
        series = {{PODS} '20},
        title = {{Three Modern Roles for Logic in AI}},
        url = {https://dl.acm.org/doi/10.1145/3375395.3389131},
        doi = {10.1145/3375395.3389131},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Darwiche, Adnan},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
4,137 The Relational Data Borg is Learning 2020 VLDB 6.8583209e-05
8,889 Optimizing Parallel Recursive Datalog Evaluation on Multicore Machines 2022 SIGMOD 5.3343816e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 0 of 0 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
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