Part I. Introduction: -- 1. Cognitive models to cognitive systems / Chris Forsythe and Patrick G. Xavier -- Part II. Theoretical and empirical basis for cognitive systems: -- 2. Situation models in comprehension, memory, and augmented cognition / David E. Copeland, Joseph P. Magliano, and Gabriel A. Radvansky -- 3. Designing attention-centric notification systems : five HCI challenges / D. Scott McCrickard and C.M. Chewar -- 4. The technological relevance of natural language pragmatics / Michael A. Covington -- 5. Augmented cognition / Chris Forsythe, Amy Kruse, and Dylan Schmorrow -- Part III. Illustrations of cognitive systems: -- 6. Engaging innate human cognitive capabilities to coordinate human interruption : the HAIL system / Daniel C. McFarlane -- 7. Text analysis and dimensionality reduction for automatically populating a cognitive model framework / Travis Bauer, Darrell Laham, Zachary Benz, Scott Dooley, Joseph Kimmel, and Rob Oberbrekling -- 8. AutoTutor : a cognitive system that simulates a tutor through mixed-initiative dialogue / Arthur C. Graesser, Andrew Olney, Brian C. Haynes, and Patrick Chipman -- 9. Cognitive and computational models in interactive narrative / R. Michael Young -- 10. Building augmented cognition systems for automotive applications / Wilhelm E. Kincses -- Part IV. Topics in cognitive systems: -- 11. Automated knowledge capture and user modeling / Terran Lane -- 12. Meta-cognition : what a cognitive system may/should know about itself / Michael L. Bernard.