Patricia W. Cheng

Artificial Intelligence · 1997–2017

A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Patricia W. Cheng trusts overall

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

  1. John K. Kruschke
  2. Richard S. Sutton
  3. Andrew Barto
  4. John R. Anderson
  5. Tom L. Burr
  6. Keith A. Markus
  7. Woo-Kyoung Ahn
  8. S. Roberts
  9. Denis J. Hilton
  10. J. Baron

Who trusts Patricia W. Cheng overall

  1. T. Griffiths
  2. Josh Tenenbaum
  3. David Danks
  4. Shaun Nichols
  5. Alison Gopnik
  6. J. de Houwer
  7. Amy Sue Fire
  8. Tevye R. Krynski
  9. Deanna Kuhn
  10. M. Buehner

Papers from Patricia W. Cheng's perspective

Ordered by how strongly the researchers Patricia W. Cheng 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. A theory of Pavlovian conditioning : Variations in the effectiveness of reinforcement and nonreinforcement
  3. ALCOVE: an exemplar-based connectionist model of category learning.
  4. Causality : Models , Reasoning , and Inference
  5. Toward a modern theory of adaptive networks: expectation and prediction.
  6. Gradient-based learning applied to document recognition
  7. From covariation to causation: A causal power theory.
  8. Causation, Prediction, and Search
  9. Making Things Happen: A Theory of Causal Explanation
  10. Probabilistic reasoning in intelligent systems: Networks of plausible inference

Their papers