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Logic, Reasoning, and Knowledge

169 papers indexed

The work gathered under this theme explores how artificial intelligence systems can manipulate rules, reasoning, and knowledge in a formal manner. It addresses questions such as the validation of logical constraints (OWL, SHACL), query transformation (Horn-ALCHI, GQL), or the management of incomplete or contradictory information, relying on theoretical frameworks like automated theorem proving, ontologies, or probabilistic distributions. The challenge is to structure robust reasoning, whether in abduction, diagnosis, or the preservation of logical properties during transformations, while integrating notions such as uncertainty or the metaphysical choices underlying models.

This topic and its hierarchy come from the OpenAlex classification, the open catalogue of the world's scientific research.

Monthly volume - last 12 months

Lab countries

  1. United States28% · 24 papers
  2. Germany16% · 14 papers
  3. China9.4% · 8 papers
  4. United Kingdom7.1% · 6 papers
  5. Italy7.1% · 6 papers
  6. Spain5.9% · 5 papers
  7. Austria5.9% · 5 papers
  8. South Africa3.5% · 3 papers

Across 85 papers on this subject with at least one lab located. 34 countries represented.

This is the country of the laboratory, never the nationality of individuals. A paper signed from several countries counts for each of them, so the shares add up to more than 100%. Coverage is partial and the gap is not random: a researcher whose institution is unknown usually publishes little, which over-represents established labs.

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The topics the OpenAlex classification attaches to the same theme, most active first.

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