Journal article
Ontology reasoning with deep neural networks
- Abstract:
-
The ability to conduct logical reasoning is a fundamental aspect of intelligent human behavior, and thus an important problem along the way to human-level artificial intelligence. Traditionally, logic-based symbolic methods from the field of knowledge representation and reasoning have been used to equip agents with capabilities that resemble human logical reasoning qualities. More recently, however, there has been an increasing interest in using machine learning rather than logic-based symbol...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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Funding
Bibliographic Details
- Publisher:
- AI Access Foundation Publisher's website
- Journal:
- Journal of Artificial Intelligence Research Journal website
- Volume:
- 68
- Pages:
- 503-540
- Publication date:
- 2020-07-07
- Acceptance date:
- 2020-05-07
- DOI:
- EISSN:
-
1943-5037
- ISSN:
-
1076-9757
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1046554
- Local pid:
- pubs:1046554
- Deposit date:
- 2020-07-08
Terms of use
- Copyright holder:
- AI Access Foundation
- Copyright date:
- 2020
- Rights statement:
- © 2020 AI Access Foundation. All rights reserved.
- Notes:
- This is the accepted manuscript version of the article. The final version is available online from the AI Access Foundation at: https://doi.org/10.1613/jair.1.11661
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