Basic decisions, such as judging a person as a friend or foe, involve categorizing novel
stimuli. Recent work finds that people's category judgments are guided by a small set of …

Given a classification task, what is the best way to teach the resulting boundary to a human?
While machine learning techniques can provide excellent methods for finding the boundary …

Some decisions, such as predicting the winner of a baseball game, are challenging in part
because outcomes are probabilistic. When making such decisions, one view is that humans …

Expert decision makers are starting to rely on data-driven automated agents to assist them
with various tasks. For this collaboration to perform properly, the human decision maker …

We propose using computational teaching algorithms to improve human teaching for
machine learners. We investigate example sequences produced naturally by human …

I draw the reader's attention to machine teaching, the problem of finding an optimal training
set given a machine learning algorithm and a target model. In addition to generating …

People often make decisions by stochastically retrieving a small set of relevant memories.
This limited retrieval implies that human performance can be improved by training on …

In order to be adaptive, cognition requires knowledge about the statistical structure of the
environment. We show that decision performance and the selection between cue-based and …

This thesis presents a new theory of generalization in neural network types of learning
machines. The new theory can be viewed as a refinement of the decision theoretical …

Rapidly evolving Internet and web technologies and international efforts on standardization
of learning object metadata enable learners in a web-based educational system ubiquitous …