Causal learning in rats and humans: A minimal rational model

By Michael R. Waldmann, Patricia W. Cheng, York Hagmayer, A. Blaisdell. 2008

84 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/ed08e57030107b08e54090f8cf4f512cbbb40bd3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Tamara van Gog
2. J. V. van Merriënboer
3. John Sweller
4. Fred Paas
5. Yoshua Bengio
6. Josh Tenenbaum
7. Ruslan Salakhutdinov
8. Douglas J. Hacker

Citations in the corpus

• Causal Learning (2012, background): “, 1993/2000) and the causal power approach (Waldmann et al., 2008) both make use of deductive inference, it is not surprising that they can also explain diagnostic reasoning.”
• Formalizing Neurath’s Ship: Approximate Algorithms for Online Causal Learning (2016, methodology): “An interesting alternative approach to complex model induction via local computations (Fernbach & Sloman, 2009; Waldmann et al., 2008), comes from variational Bayes (Bishop, 2006; Weierstrass, 1902).”