Nancy Fulda

Nancy Fulda is a PhD student with an emphasis in knowledge representation, automated decision-making, and cognitive systems. She is a key contributor to the BYU Analogical Reasoning Dataset, and her work on common-sense knowledge extraction was recently featured on Live Science. Her technical publications can be found at

In addition to work published in IJCAI, IJCNN, ICRA and other peer-reviewed conferences, Nancy also enjoys writing science fiction, and has written on request for David Brin, TOR Books, and MIT’s Technology Review, as well as for the Dark Expanse space strategy game.