John-Jules Charles Meyer
Artificial Intelligence · 2010–2017
A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 15 citations into it; #27,637 of 35,345 by trust here, #20,836 by citations
- Safety, Robustness & Interpretability — 7 citations into it
Whom John-Jules Charles Meyer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts John-Jules Charles Meyer overall
Papers from John-Jules Charles Meyer's perspective
Ordered by how strongly the researchers John-Jules Charles Meyer trusts endorse each paper. Same corpus, a different order for every researcher.
- Equivalence and Synthesis of Causal Models
- An abstract framework for argumentation with structured arguments (Argument Comput.)
- On the evaluation of argumentation formalisms (Artificial Intelligence)
- Explanation in Bayesian belief networks
- Agents that Learn to Explain Themselves
- Explanation in second generation expert systems
- On Bayesian Measures of Evidential Support: Theoretical and Empirical Issues* (Philosophia Scientiæ)
- Limits on theory of mind use in adults. (Cognition)
- Bayesian Networks and Decision Graphs (Statistics for Engineering and Information Science)
- Thinking movement and the creation of dance through numbers
Their papers
- A two-phase method for extracting explanatory arguments from Bayesian networks (2017) — 76 citations
- Do You Get It? User-Evaluated Explainable BDI Agents (2010) — 85 citations
- Design and Evaluation of Explainable BDI Agents (2010) — 70 citations