Structure and Learning (Dagstuhl Seminar 21362)

Dong, Tiansi; Rettinger, Achim; Tang, Jie; Tversky, Barbara; van Harmelen, Frank

doi:10.4230/DagRep.11.8.11

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Structure and Learning (Dagstuhl Seminar 21362)

Authors Tiansi Dong, Achim Rettinger, Jie Tang, Barbara Tversky, Frank van Harmelen and all authors of the abstracts in this report

Part of: Issue: Dagstuhl Reports, Volume 11, Issue 8
Part of: Volume: Dagstuhl Reports, Volume 11
Part of: Journal: Dagstuhl Reports (DagRep)
License: Creative Commons Attribution 4.0 International license
Publication Date: 2022-02-18

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DagRep.11.8.11.pdf

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Document Identifiers

DOI: 10.4230/DagRep.11.8.11
URN: urn:nbn:de:0030-drops-157670

Subject Classification

ACM Subject Classification

Computing methodologies → Artificial intelligence
Computing methodologies → Machine learning
Computing methodologies → Symbolic and algebraic manipulation

Keywords

Knowledge graph
Machine learning
Neural-symbol unification

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Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 21362 "Structure and Learning", held from September 5 to 10, 2021. Structure and learning are among the most prominent topics in Artificial Intelligence (AI) today. Integrating symbolic and numeric inference was set as one of the next open AI problems at the Townhall meeting "A 20 Year Roadmap for AI" at AAAI 2019. In this Dagstuhl seminar, we discussed related problems from an interdiscplinary perspective, in particular, Cognitive Science, Cognitive Psychology, Physics, Computational Humor, Linguistic, Machine Learning, and AI. This report overviews presentations and working groups during the seminar, and lists two open problems.

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Tiansi Dong, Achim Rettinger, Jie Tang, Barbara Tversky, and Frank van Harmelen. Structure and Learning (Dagstuhl Seminar 21362). In Dagstuhl Reports, Volume 11, Issue 8, pp. 11-34, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022) https://doi.org/10.4230/DagRep.11.8.11

Author Details

Tiansi Dong

Universität Bonn, DE

Achim Rettinger

Universität Trier, DE

Jie Tang

Tsinghua University - Beijing, CN

Barbara Tversky

Columbia University - New York, US

Frank van Harmelen

VU University Amsterdam, NL

and all authors of the abstracts in this report

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