ABSTRACT
In chapter 1 (this volume), Gluck Pew, and Young describe three goals for the AMBR model comparison: (a) to advance the state of the science in human behavior representation (HBR), (b) to develop HBR models that are relevant to the Department of Defense (DoD) mission, and (c) to make all of the research tasks, human behavior models, and human process and outcome data available to the public. As evidence of progress on the first two goals, in this book we have presented an exemplary set of models and the modeling architectures in which they were built. In Experiment 1, the models pushed the frontiers in the representation of multitasking in HBR architectures. In Experiment 2, we stimulated the incorporation of category learning into architectures that previously did not have this capability. These accomplishments are certainly a contribution both to the state of the science and the development of more capable models to meet DoD HBR needs.
