How Do People Learn and Reason About the World? - A/Prof Dan Navarro

What is this research about?

Understanding human conceptual knowledge is one of the central problems in cognitive science.

Our work in this area focuses on a number of key questions. How is knowledge organised in the mind? How do people judge some things to be more similar than others? What kinds of mathematical laws constrain how people generalise from one situation to another? More generally, what kind of inductive inferences are licensed by our conceptual knowledge, and what inferences are not?

Publications relating to this research:

Representative publications:

K Ransom, A Perfors and DJ Navarro (2016). Leaping to conclusions: Why premise relevance affects argument strength. Cognitive Science, 40, 1775-1796

W Voorspoels, DJ Navarro, A Perfors, K Ransom and G Storms (2015). How do people learn from negative evidence? Non-monotonic generalizations and sampling assumptions in inductive reasoning. Cognitive Psychology, 81, 1-25

P Shafto, B Eaves, DJ Navarro and A Perfors (2012). Epistemic trust: Modeling children's reasoning about others' knowledge and intentDevelopmental Science, 15, 436-447

AN Sanborn, TL Griffiths and DJ Navarro (2010). Rational approximations to rational models: Alternative algorithms for category learning. Psychological Review, 117, 1144-1167

Lab:

UNSW Computational Cognitive Science Lab