ABSTRACT
The AMBR project has a worthy and lofty goal-to create systems that can successfully simulate human behavior. In service of this goal, AMBR teams created category learning systems that were embedded within a cognitive architecture. To test and more fully develop these architectural proposals, human performance data were collected in a behavioral study that paired structures utilized in Shepard, Hovland, and Jenkins’s (1961) classic category learning studies with secondary tasks that evoked air traffic control (ATC) scenarios.
