Chen The Fitness of Information

Quantitative Assessments of Critical Evidence
1. Auflage 2014
ISBN: 978-1-118-59410-0
Verlag: John Wiley & Sons
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 288 Seiten, E-Book

Reihe: Wiley Series in Probability and Statistics

Theories and practices to assess critical information in acomplex adaptive system
Organized for readers to follow along easily, The Fitness ofInformation: Quantitative Assessments of Critical Evidenceprovides a structured outline of the key challenges in assessingcrucial information in a complex adaptive system. Illustrating avariety of computational and explanatory challenges, the bookdemonstrates principles and practical implications of exploring andassessing the fitness of information in an extensible framework ofadaptive landscapes.
The book's first three chapters introduce fundamentalprinciples and practical examples in connection to the nature ofaesthetics, mental models, and the subjectivity of evidence. Inparticular, the underlying question is how these issues can beaddressed quantitatively, not only computationally but alsoexplanatorily. The next chapter illustrates how one can reduce thelevel of complexity in understanding the structure and dynamics ofscientific knowledge through the design and use of the CiteSpacesystem for visualizing and analyzing emerging trends in scientificliterature. The following two chapters explain the concepts ofstructural variation and the fitness of information in a frameworkthat builds on the idea of fitness landscape originally introducedto study population evolution. The final chapter presents adual-map overlay technique and demonstrates how it supports avariety of analytic tasks for a new type of portfolioanalysis.
The Fitness of Information: Quantitative Assessments of CriticalEvidence also features:
* In-depth case studies and examples that characterizefar-reaching concepts, illustrate underlying principles, anddemonstrate profound challenges and complexities at various levelsof analytic reasoning
* Wide-ranging topics that underline the common theme, from thesubjectivity of evidence in criminal trials to detecting earlysigns of critical transitions and mechanisms behind radicalpatents
* An extensible and unifying framework for visual analytics bytransforming analytic reasoning tasks to the assessment of criticalevidence
The Fitness of Information: Quantitative Assessments of CriticalEvidence is a suitable reference for researchers, analysts, andpractitioners who are interested in analyzing evidence and makingdecisions with incomplete, uncertain, and even conflictinginformation. The book is also an excellent textbook forupper-undergraduate and graduate-level courses on visual analytics,information visualization, and business analytics and decisionsupport systems.

Autoren/Hrsg.

Chen, Chaomei

Inhaltsverzeichnis

Chapter 1 Attention and Aesthetics 8
1.1 Attention 8
1.2 Gestalt Principles 11
1.3 Aesthetics 16
1.4 The Index of the Interesting 21
1.5 Summary 26
Bibliography 27
Chapter 2 Mental Models 29
2.1 Mental Models 29
2.2 Creativity 44
2.3 Foresights 53
2.4 Summary 57
Bibliography 57
Chapter 3 Subjectivity of Evidence 61
3.1 The Value of Information 61
3.2 Causes Célèbre 63
3.3 The Da Vinci Code 74
3.4 Supreme Court Opinions 79
3.5 Apple versus Samsung 82
3.6 Summary 83
Bibliography 84
Chapter 4 Visualizing the Growth of Knowledge 86
4.1 Progressive Knowledge Domain Visualization 86
4.2 CiteSpace 96
4.3 Examples 109
4.4 Summary 119
Bibliography 119
Chapter 5 Fitness Landscapes 122
5.1 Cognitive Maps 122
5.2 Fitness Landscapes 124
5.3 Applications of Fitness Landscapes 131
5.4 Summary 140
Bibliography 140
Chapter 6 Structural Variation 141
6.1 Complex Adaptive Systems 141
6.2 Radical Patents 147
6.3 Bridging the Gaps 155
6.4 Applications 161
6.5 Summary 172
Bibliography 173
Chapter 7 Gap Analytics 177
7.1 Portfolio Analysis and Risk Assessment 178
7.2 Interactive Overlays 183
7.3 Examples of Dual-Map Overlays 189
7.4 Summary 202
7.5 Conclusion 203
Bibliography 205

Über Autor(innen)

CHAOMEI CHEN, PhD, is a Professor of Informatics in theCollege of Computing and Informatics at Drexel University. He isthe creator of the widely used software CiteSpace, and author ofseveral other books. Dr. Chen's research expertise includesinformation visualization, visual analytics, quantitative studiesof scientific literature, and theories of scientificdiscoveries.