Original Research: Human Reinforcement Learning in Static vs Dynamic Environments

In this series on Original Research, I will be sharing about my findings from some of the mini-projects that I have carried out on my own. In life, we are accustomed to the idea that practicing on variations of the same task prepares us for scenarios that we have yet to encounter. For example, students … Continue reading Original Research: Human Reinforcement Learning in Static vs Dynamic Environments

Original Research: Is Using Fast-and-Frugal Trees Better Than Machine-Learning Trees?

In this series on Original Research, I will be sharing about my findings from some of the mini-projects that I have carried out on my own. Fast-and-frugal trees (FFTs) are a specific type of classification decision tree with sequentially ordered cues, where every cue has two branches and one branch is an exit point (Martignon … Continue reading Original Research: Is Using Fast-and-Frugal Trees Better Than Machine-Learning Trees?

Original Research: The Anchoring Effect in A Range of Plausible Anchors

In this series on Original Research, I will be sharing about my findings from some of the mini-projects that I have carried out on my own. The anchoring effect is a systematic cognitive bias committed by individuals, when they rely too heavily on an initial piece of information for making a subsequent judgment. This is … Continue reading Original Research: The Anchoring Effect in A Range of Plausible Anchors