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.
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.
Chris Forsythe, Michael L. Bernard, Timothy E. Goldsmith
Inhaltsangabe
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.
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.
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