<span>COGNITIVE COMPUTING MODELS IN COMMUNICATION SYSTEMS</span><p><span>A concise book on the latest research focusing on problems and challenges in the areas of data transmission technology, computer algorithms, AI-based devices, computer technology, and their solutions.</span></p><p><span>The boo
Cognitive Systems: Human Cognitive Models In Systems Design
β Scribed by Chris Forsythe, Michael L. Bernard, Timothy E. Goldsmith (Editors)
- Publisher
- Lawrence Erlbaum Associates
- Year
- 2005
- Tongue
- English
- Leaves
- 325
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
The leading thinkers from the cognitive science tradition participated in a workshop sponsored by Sandia National Laboratories in July of 2003 to discuss progress in building their models. The goal was to summarize the theoretical and empirical bases for cognitive systems and to present exemplary developments in the field. Following the workshop, a great deal of planning went into the creation of this book. Eleven of the twenty-six presenters were asked to contribute chapters, and four chapters are the product of the breakout sessions in which critical topics were discussed among the participants. An introductory chapter provides the context for this compilation. Cognitive Systems thus presents a unique merger of cognitive modeling and intelligent systems, and attempts to overcome many of the 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.
β¦ Table of Contents
Contents......Page 6
Contributors......Page 8
Preface......Page 10
PART ONE: INTRODUCTION......Page 12
1 Cognitive Models to Cognitive Systems......Page 14
PART TWO: THEORETICAL AND EMPIRICAL BASIS FOR COGNITIVE SYSTEMS......Page 46
2 Situation Models in Comprehension, Memory, and Augmented Cognition......Page 48
3 Designing Attention-Centric Notification Systems: Five HCI Challenges......Page 78
4 The Technological Relevance of Natural Language Pragmatics......Page 102
5 Augmented Cognition......Page 110
PART THREE: ILLUSTRATIONS OF COGNITIVE SYSTEMS......Page 146
6 Engaging Innate Human Cognitive Capabilities to Coordinate Human Interruption: The HAIL System......Page 148
7 Text Analysis and Dimensionality Reduction for Automatically Populating a Cognitive Model Framework......Page 164
8 AutoTutor: A Cognitive System That Simulates a Tutor Through Mixed-Initiative Dialogue......Page 188
9 Cognitive and Computational Models in Interactive Narrative......Page 224
10 Building Augmented Cognition Systems for Automotive Applications......Page 248
PART FOUR: TOPICS IN COGNITIVE SYSTEMS......Page 268
11 Automated Knowledge Capture and User Modeling......Page 270
12 Meta-CognitionβWhat a Cognitive System May/Should Know About Itself......Page 296
B......Page 312
D......Page 313
G......Page 314
I,J......Page 315
M......Page 316
N......Page 317
R......Page 318
T......Page 319
X,Y......Page 320
Z......Page 321
B,C......Page 322
L......Page 323
U......Page 324
V,W......Page 325
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