Mental Mechanisms: Speculations on Human Causal Learning and Reasoning

By N. Chater, Mike Oaksford, Klaus Fiedler, P. Juslin. 2005

29 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Developmental and Educational Psychology, History and Philosophy of Science

How researchers see this paper

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

In Artificial Intelligence

1. Been Kim
2. Finale Doshi-Velez
3. A. Sora
4. Adrian Weller
5. Mohit Bansal
6. Gagan Bansal
7. Marco F. Huber
8. Wojciech Samek

In Developmental and Educational Psychology

1. A. Sora
2. Finale Doshi-Velez
3. Been Kim

In History and Philosophy of Science

1. A. Sora
2. Finale Doshi-Velez
3. Been Kim

Citations in the corpus

• A Roadmap for a Rigorous Science of Interpretability (2017, background): “Researchers have classified explanations from being “deductive-nomological” in nature [Hempel and Oppenheim, 1948] (i.e. as logical proofs) to providing some sense of mechanism [Bechtel and Abrahamsen, 2005, Chater and Oaksford, 2006, Glennan, 2002].”
• Explanation and understanding (2015, background): “In many cases, we think of explanations as providing some sense of mechanism (Bechtel & Abrahamsen 2005, Chater & Oaksford 2005, Glennan 2002).”
• Towards A Rigorous Science of Interpretable Machine Learning (2017, background): “Researchers have classified explanations from being “deductive-nomological” in nature [Hempel and Oppenheim, 1948] (i.e. as logical proofs) to providing some sense of mechanism [Bechtel and Abrahamsen, 2005, Chater and Oaksford, 2006, Glennan, 2002].”