Simulations and the Future of Learning

Contents
Foreword ix
Acknowledgments xi
1. Do You Want Fries with that e-Learning? 1
Part One: The Simulation Way
2. In the Game 13
3. The Primary Colors of Content 23
4. The e-Learning Arms Race 31
5. The Myth of Subject-Matter Experts 37
6. The Search for Content 45
7. What Would a Leadership Situation Look Like? 57
8. Uncovering the Essence of Leadership 71
9. The Lure of Linear Content 85
Part Two: Modeling Reality
10. Rules for a Post-Textbook World:
Simulation Design Principles 97
11. The Beginning of Open-Ended Content:
Sets and Figures 105
12. What Do People Do All Day?
The Animation System 121
13. The Ultimate Hurdle: The Dialogue System 129
14. Modeling a Little World: The Physics System 151
15. Modeling the Inhabitants: The AI System 159
Part Three: Philosophical and Technical Realities
16. A New Look at Work: The Interface System 173
17. The Scariest Word of All: Gameplay 179
18. Why Use Grades, Anyway? Metrics, Scores,
and Simulations 187
19. Virtual Leader vs. the World 199
Part Four: The Way Ahead
20. Seventeen Simulation Issues 211
21. A Manifest Destiny: Simulations and the
Training Industry 221
Epilogue: Looking Back at Schools 229
Glossary 237
Appendix One: Raw Leadership Content 247
Appendix Two: Organized Leadership Content 257
Index 269
About the Author 281
Pfeiffer Publications Guide 283


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Dynamics On and Of Complex Networks

Contents
Preface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . V
List of Contributors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . XI
Part I Biological Sciences
From Network Structure to Dynamics and Back Again:
Relating Dynamical Stability and Connection Topology
in Biological Complex Systems
Sitabhra Sinha . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
Regulation of Apoptosis via the NFκB Pathway: Modeling
and Analysis
Madalena Chaves, Thomas Eissing, and Frank Allg ̈wer . . . . . . . . . . . . . . 19
o
Network-Based Models in Molecular Biology
Andreas Beyer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
Ecological Networks: Structure, Interaction Strength,
and Stability
Samit Bhattacharyya and Somdatta Sinha . . . . . . . . . . . . . . . . . . . . . . . . . . . 57
Signaling and Feedback in Biological Networks
Sandeep Krishna, Mogens H. Jensen, and Kim Sneppen . . . . . . . . . . . . . . . 73
Part II Social Sciences
Topographic Spreading Analysis of an Empirical Sex Workers’
Network
Johannes Bjelland, Geoffrey Canright, Kenth Engø-Monsen,
and Valencia P. Remple . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97
Spectral Characterization of Network Structures
and Dynamics
Anirban Banerjee and J ̈rgen Jost . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117
u
Dynamics of Social Complex Networks: Some Insights
into Recent Research
Sergi Lozano . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 133
The Structure and Dynamics of Linguistic Networks
Monojit Choudhury and Animesh Mukherjee . . . . . . . . . . . . . . . . . . . . . . . . . 145
Networks Generated from Natural Language Text
Chris Biemann and Uwe Quasthoff . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 167
Part III Information Sciences
Efficiency of Navigation in Indexed Networks
Petter Holme . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 189
Evolution of Apache Open Source Software
Haoran Wen, Raissa M. D’Souza, Zachary M. Saul,
and Vladimir Filkov . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 199
Some New Applications of Network Growth Models
Gourab Ghoshal . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 217
The Big Friendly Giant: The Giant Component in Clustered
Random Graphs
Yakir Berchenko, Yael Artzy-Randrup, Mina Teicher, and Lewi Stone . . . 237
Technological Networks
Bivas Mitra . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 253
Advances in the Theory of Complex Networks
Fernando Peruani . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 275
Glossary of Essential Terms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 295
Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 301

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Modeling and Simulation Based Data Engineering

Contents
FOREWORD xi
PART I FOUNDATIONS
1 ONTOLOGIES AND INFORMATION
EXCHANGE: A PRAGMATIC FRAMEWORK 3
How Ontologies generate world state descriptions for use in
application contexts called pragmatic frames
2 BACKGROUND: SYNTAX, SEMANTICS, AND
ONTOLOGY FRAMEWORKS 13
Introduction to XML and related ontology environments
3 FORMULATING PRAGMATIC FRAMES AND
ONTOLOGIES: GEOSPATIAL SENSOR DATA 35
Illustrating pragmatic frame concepts in the geospatial
sensing context
PART II SYSTEM ENTITY STRUCTURE CONCEPTS
AND OPERATIONS
4 INTRODUCTION TO THE SYSTEM ENTITY
STRUCTURE 53
Basic concepts of system entity structure (SES) with examples
of how to apply them
5 SYSTEM ENTITY STRUCTURE AXIOMS:
INTERPRETATIONS AND APPLICATIONS 71
Illustrated presentation of the set theoretic formulation
of SES and how the axioms are interpreted and how they
impact application
6 SYSTEM ENTITY STRUCTURE:
COMPUTATIONAL REPRESENTATIONS 90
Representing SES in XML, DOM, JAVA, and Natural
Language and their transformations
7 MAPPINGS: TRANSFORMATIONS AND
RESTRUCTURINGS 113
Restructurings of the SES that support development and
harmonization
8 PRUNED ENTITY STRUCTURES AND XML
SCHEMA INSTANCES 128
Pruning as a process for generating world state descriptions
and their encodings in XML
9 CONSTRAINED PRUNING 146
Using rules and relations to constrain pruned entity
structures (PES) to better describe the application domain
10 PRUNED ENTITY STRUCTURES:
DATA EXTRACTION AND CHANGE-BASED
INFORMATION EXCHANGE 176
Applying the SES and PES structures to implement efficient
data extraction and information exchange
PART III MODELING AND SIMULATION AND DATA
ENGINEERING
11 HIERARCHICAL SYSTEMS, MODELS, AND
SIMULATIONS: THE SES ONTOLOGY 195
Connects the SES with the domain of simulation modeling
using application examples
12 MANAGING SYSTEM ENTITY STRUCTURES:
COMPOSING LARGE SYSTEMS 210
Merging SESs and PESs to compose large hierarchical
structures from components
13 HARMONIZING DATA REPRESENTATIONS
AND ONTOLOGIES WITHIN PRAGMATIC
FRAMES 219
How to use Pragmatic Frames and SES concepts to provide a
sound basis for information exchange
14 GEOSPATIAL SENSOR DATA:
THE UNIVERSAL PHASE HISTORY DATA
(UPHD) STANDARD 242
An example of the application of SES-based methodology to a
significant real-world problem domain
15 PROCESSING NETWORKS AND
PRAGMATIC FRAMES 273
Formulates networks of information processing nodes in terms
of metadata operations and pragmatic frames
16 DYNAMIC PRAGMATICS: ISSUES AND
METHODOLOGY 288
Discusses how to evaluate metadata in existing data exchange
standards and to manage evolution over time
PART IV TESTING IN NET-CENTRIC
ENVIRONMENTS
17 TESTING IN A NET-CENTRIC
ENVIRONMENT: TECHNOLOGY BASIS 323
Automation based on the book’s concepts achieves rigor and
faster test development in a net-centric environment
18 TESTING IN A NET-CENTRIC
ENVIRONMENT: MULTIPLE LEVELS 361
How to use the framework to test at syntactic, semantic, and
pragmatic levels
19 BRINGING IT ALL TOGETHER: MODELING
AND SIMULATION-BASED DATA
ENGINEERING 388
In-depth examination of the book’s contribution and its
relation to the state-of-the-art
GLOSSARY 418
INDEX 423


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Simulating Humans: Computer Graphics Animation and Control

by Norman I. Badler, Cary B. Phillips, Bonnie Lynn Webber

Publisher: Oxford University Press, USA 1993
ISBN/ASIN: 0195073592
ISBN-13: 9780195073591
Number of pages: 283

Description:
During the past decade, high-performance computer graphics have found application in an exciting and expanding range of new domains. Among the most dramatic developments has been the incorporation of real-time interactive manipulation and display for human figures. Though actively pursued by several research groups, the problem of providing a synthetic or surrogate human for engineers and designers already familiar with computer-aided design techniques was most comprehensively solved by Norman Badler's computer graphics laboratory at the University of Pennsylvania. The breadth of that effort as well as the details of its methodology and software environment are presented in this volume. The book is intended for human factors engineers interested in understanding how a computer-graphics surrogate human can augment their analyses of designed environments. It will also inform design engineers of the state of the art in human figure modeling, and hence of the human-centered design central to the emergent concept of concurrent engineering. In fulfilling these goals, the book additionally documents for the entire computer graphics community a major research effort in the interactive control of articulated human figures.


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