Andrew Nam

neural networks, systematicity, logic, strategy

I am a PhD student in Psychology at Stanford under the advisory of Professor James L. McClelland. I am interested in systematic reasoning, or the ability to learn and apply rules and variables. My research consists of both empirical studies and computational modeling, gathering data from human experiments to understand attributes of reasoning processes and then aiming to produce similar results through neural network models. I primarily use logic puzzles (e.g. Sudoku) and instruction sets (e.g. recipes, programs) to test for systematic behaviors. Consequently, I am also interested in learning through instruction, strategy formation, and planning as they all pertain to learning and solving puzzles and other complex reasoning tasks.