Abstract
Studies of human problem solving were one of the basic sources of insight for early AI research. Unfortunately, this approach has been largely abandoned in recent decades. In this essay, I argue that the cognitive systems community should put more effort into understanding and modeling human problem solving. I present examples of open research questions, discuss obstacles in pursuing this type of research, and show how greater diversity of methods and problems would improve understanding of on problem solving in both humans and machines.
