Cognitive Systems

This book presents a unique merger of cognitive modeling and intelligent systems, and attempts to overcome the many problems inherent in current expert systems. It will be of interest to researchers and students in the fields of cognitive science, computational, modeling, intelligent systems, artificial intelligence, and human computer interaction.

Contents: Preface. Part I: Introduction.C. Forsythe, P.G. Xavier, Cognitive Models to Cognitive Systems. Part II: Theoretical and Empirical Basis for Cognitive Systems.D.E. Copeland, J.P. Magliano, G.A. Radvansky, Situation Models in Comprehension, Memory, and Augmented Cognition. D.S. McCrickard, C.M. Chewar, Designing Attention-Centric Notification Systems: Five HCI Challenges. M.A. Covington, The Technological Relevance of Natural Language Pragmatics to Cognitive Systems. C. Forsythe, A. Kruse, D. Schmorrow, Augmented Cognition. Part III: Illustrations of Cognitive Systems.D.C. McFarlane, Engaging Innate Human Cognitive Capabilities to Coordinate Human Interruption: The HAIL System. T. Bauer, D. Laham, Z. Benz, S. Dooley, J. Kimmel, R. Oberbrekling, Text Analysis and Dimensionality Reduction for Automatically Populating a Cognitive Model Framework. A.C. Graesser, A. Olney, B.C. Haynes, P. Chipman, Autotutor: A Cognitive System That Simulates a Tutor Through Mixed-Initiative Dialogue. R.M. Young, Cognitive and Computational Models in Interactive Narrative. W. Kincses, Building Augmented Cognition Systems for Automotive Applications. Part IV: Topics in Cognitive Systems.T. Lane, Automated Knowledge Capture and User Modeling. M.L. Bernard, Meta-Cognition or What a Cognitive System May/Should Know About Itself.