Theories and practices to assess critical information in a
complex adaptive system
Organized for readers to follow along easily, The Fitness of
Information: Quantitative Assessments of Critical Evidence
provides a structured outline of the key challenges in assessing
crucial information in a complex adaptive system. Illustrating a
variety of computational and explanatory challenges, the book
demonstrates principles and practical implications of exploring and
assessing the fitness of information in an extensible framework of
adaptive landscapes.
The book’s first three chapters introduce fundamental
principles and practical examples in connection to the nature of
aesthetics, mental models, and the subjectivity of evidence. In
particular, the underlying question is how these issues can be
addressed quantitatively, not only computationally but also
explanatorily. The next chapter illustrates how one can reduce the
level of complexity in understanding the structure and dynamics of
scientific knowledge through the design and use of the Cite Space
system for visualizing and analyzing emerging trends in scientific
literature. The following two chapters explain the concepts of
structural variation and the fitness of information in a framework
that builds on the idea of fitness landscape originally introduced
to study population evolution. The final chapter presents a
dual-map overlay technique and demonstrates how it supports a
variety of analytic tasks for a new type of portfolio
analysis.
The Fitness of Information: Quantitative Assessments of Critical
Evidence also features:
* In-depth case studies and examples that characterize
far-reaching concepts, illustrate underlying principles, and
demonstrate profound challenges and complexities at various levels
of analytic reasoning
* Wide-ranging topics that underline the common theme, from the
subjectivity of evidence in criminal trials to detecting early
signs of critical transitions and mechanisms behind radical
patents
* An extensible and unifying framework for visual analytics by
transforming analytic reasoning tasks to the assessment of critical
evidence
The Fitness of Information: Quantitative Assessments of Critical
Evidence is a suitable reference for researchers, analysts, and
practitioners who are interested in analyzing evidence and making
decisions with incomplete, uncertain, and even conflicting
information. The book is also an excellent textbook for
upper-undergraduate and graduate-level courses on visual analytics,
information visualization, and business analytics and decision
support systems.
Spis treści
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 Cite Space 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
O autorze
CHAOMEI CHEN, Ph D, is a Professor of Informatics in the
College of Computing and Informatics at Drexel University. He is
the creator of the widely used software Cite Space, and author of
several other books. Dr. Chen’s research expertise includes
information visualization, visual analytics, quantitative studies
of scientific literature, and theories of scientific
discoveries.
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