Modeling Human Behavior With Integrated Cognitive Architectures

The Air Force Research Laboratory and the Office of Naval Research funded a multi-year project with several objectives: to build computer models that would allow comparisons to be made between humans and machines performing the same tasks - specifically, multiple task management and attention sharing within Air Traffic Control system; to see how well these models would perform in different task scenarios; to build a standard modeling architecture so that components could be added to the basic model by research laboratories all over the world; and to incorporate an Al system within the computer models that will allow the systems to learn from their tasks. This book summarizes the results of four years of collaborative research within this project. Its publication accomplishes three goals: it provides a single coherent reference source documenting the human data and models from the AMBR Model Comparison, shares lessons learned and insights with the members of the scientific and technical communities who are most likely to benefit from them, and stimulates and motivates additional research and future model comparison.Modeling Human Behavior With Integrated Cognitive Architectures will be essential for military, governmental, and institutional scientists who work on the design, optimization, and training of workers in complex task management and decision making. It will also be useful in graduate courses in cognitive psychology and cognitive, industrial, and computer science engineering.

Kevin A. Gluck (Edited by) ,  Richard W. Pew (Edited by)

Resulting from the need for greater realism in models of human and organizational behavior in military simulations, there has been increased interest in research on integrative models of human performance, both within the cognitive science community generally, and within the defense and aerospace industries in particular. This book documents accomplishments and lessons learned in a multi-year project to examine the ability of a range of integrated cognitive modeling architectures to explain and predict human behavior in a common task environment that requires multi-tasking and concept learning. This unique project, called the Agent-Based Modeling and Behavior Representation (AMBR) Model Comparison, involved a series of human performance model evaluations in which the processes and performance levels of computational cognitive models were compared to each other and to human operators performing the identical tasks. In addition to quantitative data comparing the performance of the models and real human performance, the book also presents a qualitatively oriented discussion of the practical and scientific considerations that arise in the course of attempting this kind of model development and validation effort. The primary audiences for this book are people in academia, industry, and the military who are interested in explaining and predicting complex human behavior using computational cognitive modeling approaches. The book should be of particular interest to individuals in any sector working in Psychology, Cognitive Science, Artificial Intelligence, Industrial Engineering, System Engineering, Human Factors, Ergonomics and Operations Research. Any technically or scientifically oriented professional or student should find the material fully accessible without extensive mathematical background.

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