Decision Making in an Uncertain World - A/Prof Dan Navarro

What is this research about?

Learning about the world is only one half of the problem facing an intelligent agent. The other half is taking actions within that world.

How do people take action based on limited information, or when operating under time pressure, or when faced with uncertainty about the world? Our work in this area makes reference both to models of simple choices (e.g., sequential sampling models), as well as the judgment and decision making literature that looks at how people make more complicated choices.

Publications relating to this research:

DJ Navarro, B Newell and C Schulze (2016). Learning and choosing in an uncertain world: An investigation of the explore-exploit dilemma in static and dynamic environments. Cognitive Psychology, 85, 43-77

A Hendrickson, DJ Navarro and A Perfors (2016). Sensitivity to hypothesis size during information search. Decision, 3, 62-80

DJ Navarro and A Perfors (2011). Hypothesis generation, the positive test strategy, and sparse categoriesPsychological Review, 118, 120-34


UNSW Computational Cognitive Science Lab