|
135
|
From covariation to causation: A causal power theory. Psychological Review, 104, 367-405. inference and causal learning 69
– P W Cheng
- 1997
|
|
60
|
The mind’s arrows: Bayes nets and graphical causal models in psychology
– C Glymour
- 2001
|
|
384
|
Causation, prediction and search
– P Spirtes, C Glymour, R Scheines
- 1993
|
|
766
|
Causality: Models, Reasoning, and Inference
– J Pearl
|
|
211
|
Conceptual Change in Childhood
– S Carey
- 1985
|
|
23
|
Theory-based causal induction
– Thomas L. Griffiths, Joshua B. Tenenbaum
- 2003
|
|
95
|
A theory of causal learning in children: Causal maps and Bayes nets
– Alison Gopnik, Clark Glymour, David M. Sobel, Laura E. Schulz, Tamar Kushnir, David Danks
- 2004
|
|
12
|
Learning causal laws
– J B Tenenbaum, S Niyogi
- 2003
|
|
99
|
Words, thoughts, and theories
– A Gopnik, A N Meltzoff
- 1997
|
|
58
|
Inferring causal networks from observations and interventions
– M Steyvers, J B Tenenbaum, E J Wagenmakers, B Blum
- 2003
|
|
312
|
The adaptive character of thought
– J R Anderson
- 1990
|
|
5667
|
Probabilistic reasoning in intelligent systems
– Judea Pearl
- 1988
|
|
521
|
Foundations of statistical natural language processing
– C Manning, H Schütze
- 1999
|
|
9
|
Causes, coincidences, and theories. Unpublished doctoral dissertation
– T L Griffiths
- 2005
|
|
34
|
A causal-model theory of conceptual representation and categorization
– Bob Rehder
- 2003
|
|
221
|
The role of theories in conceptual coherence
– G Murphy, D Medin
- 1985
|
|
33
|
Structure Learning in Human Causal Induction
– Joshua B. Tenenbaum, Thomas L. Griffiths
- 2000
|
|
477
|
Vision
– D Marr
- 1982
|
|
710
|
A tutorial on learning with Bayesian networks
– David Heckerman
- 1995
|
