Cognitive Systems (eBook, PDF)

Human Cognitive Models in Systems Design
Redaktion: Forsythe, Chris; Goldsmith, Timothy E.; Bernard, Michael L.

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 324
• Erscheinungstermin: 15. August 2006
• Englisch
• ISBN-13: 9781135605384
• Artikelnr.: 42711672

Autorenporträt

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.