Body: <p>A lot of people seem to be under the impression that combining <a href="https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence" rel="nofollow noreferrer">GOFAI</a> and contemporary AI will make models more general. I'm particularly interested in reasoning through analogy or case-based reasoning.</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2021-01-24T22:29:05.877Z
Comments.Text: [Here](https://ai.stackexchange.com/q/146/2444) is a very similar but older question, so yours seems to be a duplicate. Am I right?
Comments.UserDisplayName: nbro
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2021-12-28T09:12:06.860Z
Comments.Text: Read some of [Jacques Pitrat's books](https://en.wikipedia.org/wiki/Jacques_Pitrat)
Comments.UserDisplayName: Basile Starynkevitch
Tags: <deep-learning><reference-request><papers><symbolic-ai><neurosymbolic-ai>
Title: What are some interesting recent papers that synthesize symbolic AI with Deep Learning?
UserDisplayName: Daniel
ThreadText: # What are some interesting recent papers that synthesize symbolic AI with Deep Learning?
  
  (Asked by: username_0 on 2018-02-07)
  
  A lot of people seem to be under the impression that combining [GOFAI](https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence) and contemporary AI will make models more general. I'm particularly interested in reasoning through analogy or case-based reasoning.
  
  **Tags:** deep-learning, reference-request, papers, symbolic-ai, neurosymbolic-ai
  > **Comments:**
  > **username_1**: [Here](https://ai.stackexchange.com/q/146/2444) is a very similar but older question, so yours seems to be a duplicate. Am I right?  
  > **username_2**: Read some of [Jacques Pitrat's books](https://en.wikipedia.org/wiki/Jacques_Pitrat)  
  
  ---
  
  ## 0 answers
  
  