Research output

Research output per year 1981 2011 2012 2013 2014 2015 2024

• 46 Article
• 33 Book/Film/Article review
• 16 Conference contribution
• 7 Chapter
• 34 More
  • 6 Chapter (peer-reviewed)
  • 5 Comment/debate
  • 5 Review article
  • 4 Book
  • 3 Entry for encyclopedia/dictionary
  • 3 Letter
  • 3 Short survey
  • 2 Editorial
  • 1 Other chapter contribution
  • 1 Paper
  • 1 Conference article

Research output per year

Research output per year

Search results

• 2021

  Insights for AI from the human mind

  Marcus, G. & Davis, E., Jan 2021, In: Communications of the ACM. 64, 1, p. 38-41 4 p.

  Research output: Contribution to journal › Comment/debate › peer-review
• 2017

  Causal generative models are just a start

  Davis, E. & Marcus, G., Jan 1 2017, In: The Behavioral and brain sciences. 40, p. e262

  Research output: Contribution to journal › Comment/debate › peer-review

  • Causal Generative Models 100%
  • Intuitive Psychology 50%
  • Physics Engine 50%
  • Geometric Knowledge 50%
  • Causal Theory 50%
• 1993

  Representations of commonsense knowledge: Response to the reviews

  Davis, E., May 1993, In: Artificial Intelligence. 61, 1, p. 175-179 5 p.

  Research output: Contribution to journal › Comment/debate › peer-review
• 1992

  RESPONSE TO “PROLEGOMENA TO ANY FUTURE QUALITATIVE PHYSICS,” BY ELISHA SACKS AND JON DOYLE

  Davis, E., May 1992, In: Computational Intelligence. 8, 2, p. 316-318 3 p.

  Research output: Contribution to journal › Comment/debate › peer-review
• 1991

  Response to Prolegomena to any Future Qualitative Physics by Elisha Sacks and Jon Doyle

  Davis, E., 1991, In: Computational Intelligence. p. 316-318

  Research output: Contribution to journal › Comment/debate › peer-review