Tevye R. Krynski

Artificial Intelligence · 2007

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tevye R. Krynski trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Patricia W. Cheng
  2. T. Griffiths
  3. Alison Gopnik
  4. Clark Glymour
  5. Woo-Kyoung Ahn
  6. Josh Tenenbaum
  7. Daniel Kahneman
  8. John R. Anderson
  9. David M. Sobel
  10. Amos Tversky

Who trusts Tevye R. Krynski overall

  1. Tobias Gerstenberg
  2. Josh Tenenbaum
  3. Niki Kilbertus

Papers from Tevye R. Krynski's perspective

Ordered by how strongly the researchers Tevye R. Krynski trusts endorse each paper. Same corpus, a different order for every researcher.

  1. A theory of causal learning in children: causal maps and Bayes nets.
  2. Causality : Models , Reasoning , and Inference
  3. The Mind's Arrows: Bayes Nets and Graphical Causal Models in Psychology
  4. The role of covariation versus mechanism information in causal attribution.
  5. From covariation to causation: A causal power theory.
  6. The Adaptive Character of Thought
  7. Structure and strength in causal induction.
  8. Gradient-based learning applied to document recognition
  9. Detecting blickets: how young children use information about novel causal powers in categorization and induction.
  10. Probabilistic reasoning in intelligent systems: Networks of plausible inference

Their papers