Paul E. Smaldino: Modeling Social Behavior

Cover: 9780691224145 | Modeling Social Behavior | Paul E. Smaldino | Taschenbuch | Englisch

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Sprache: Englisch

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Beschreibung

"Some of the most pressing questions of our time concern how groups behave, from political polarization and cooperation to collective action, social influence and cultural evolution. This book is intended to equip scholars in the social, behavioral, and cognitive sciences with a toolkit for thinking about and studying social dynamics using mathematical and computational models. Currently, there are two approaches for modeling social dynamics: mathematical models and agent-based models. In this book, Smaldino treats the two traditions as complementary, rather than separate. Combining theory-driven instruction on key mathematical and agent-based models of social dynamics and cultural evolution with practical, specific examples of how to use models, the book offers an introduction to both kinds of modelling and shows readers how to build their own models, analyze them, and integrate them with empirical [...] book assumes minimal background in either programming or advanced mathematics"--

Über den Autor

Paul E. Smaldino is professor of cognitive and information sciences at the University of California, Merced, and external professor at the Santa Fe Institute.

Inhaltsverzeichnis

Preface
- How to Use This Book
- Why This Book Uses NetLogo But You Don’t Have To
- Summary of Chapters
- Acknowledgments
- 1 Doing Violence to Reality
  - 1.1 Flocking Birds and Boids
  - 1.2 What Are Models?
  - 1.3 The Parable of the Cubist Chicken
  - 1.4 Decomposition
  - 1.5 Formal Theory in the Inexact Sciences
  - 1.6 Why Model?
  - 1.7 Some Models of Note
  - 1.8 Equation-Based Models and Agent-Based Models
  - 1.9 Fine-Grained and Coarse-Grained Models
  - 1.10 The Journey Begins
  - 2 Particles
    - 2.1 NetLogo Basics
    - 2.2 Programming Basics
    - 2.3 Particle World
    - 2.4 Coding the Model
    - 2.5 The Components of a Model
    - 2.6 Describing a Model
    - 2.7 Flocking
    - 2.8 Reflections
    - 2.9 Going Deeper
    - 2.10 Exploration
    - 3 The Schelling Chapter
      - 3.1 The Puzzle of Segregation
      - 3.2 A Model of Segregation
      - 3.3 A Formal Description of the Model
      - 3.4 Thinking about Consequences
      - 3.5 Coding the Model
      - 3.6 The Power of Play
      - 3.7 Model Analysis
      - 3.8 Analyzing the Segregation Model
      - 3.9 Reflections
      - 3.10 Going Deeper
      - 3.11 Exploration
      - 4 Contagion
        4.1 The Diffusion of Innovations
        4.2 Spontaneous Adoption
        4.3 Social Influence: The SI Model
        4.4 The Analytical SI Model
        4.5 Getting Better: The SIS Model
        4.6 Staying Better: The SIR Model
        4.7 Reflections
        4.8 Going Deeper
        4.9 Exploration
        5 Opinion Dynamics
        5.1 Building a Model of Opinion Dynamics
        5.2 Opinion Dynamics Under Positive Influence
        5.3 Bounded Confidence
        5.4 Negative Influence
        5.5 Multiple Opinions, Polarization, and Extremism
        5.6 Reflections
        5.7 Going Deeper
        5.8 Exploration
        6 Cooperation
        6.1 The Prisoner’s Dilemma
        6.2 Evolutionary Dynamics
        6.3 Cooperation and Assortment
        6.4 Reducing Assortment
        6.5 Positive Assortment and Hamilton’s Rule
        6.6 Reciprocity
        6.7 The Evolutionary Stability of Reciprocity
        6.8 Reflections
        6.9 Going Deeper
        6.10 Exploration
        7 Coordination
        7.1 Norms with Symmetric Payoffs
        7.2 Group-Beneficial Norms
        7.3 Group-Beneficial Norms in a Structured Population
        7.4 Division of Labor
        7.5 Reflections
        7.6 Going Deeper
        7.7 Exploration
        8 The Scientific Process
        8.1 Science as Hypothesis Testing
        8.2 Bayes’ Theorem
        8.3 Science as Bayesian Inference
        8.4 Science as a Population Process
        8.5 Science as a Cultural Process
        8.6 Why the Most Newsworthy Science Might Be the Least Trustworthy
        8.7 Reflections
        8.8 Going Deeper
        8.9 Exploration
        9 Networks
        9.1 Network Building Blocks
        9.2 Network Architectures: Order and Chaos
        9.3 Small-World Networks: Short Paths and Strong Clustering
        9.4 Simple vs. Complex Contagion on Small-World Networks
        9.5 Preferential Attachment
        9.6 Other Social Drivers of Network Structure
        9.7 Reflections
        9.8 Going Deeper
        9.9 Exploration
        10 Models and Reality
        10.1 The Mapping Problem
        10.2 Nine Lessons for Turning an Idea into a Model
        10.3 Analyzing Your Model in Light of Itself
        10.4 Analyzing Your Model in Light of Empirical Data
        10.5 Fitting Models to Data on a Rugged Landscape
        10.6 Reflections
        11 Maps and Territories
        11.1 The Map Is Not The Territory
        11.2 We Need Many Maps
        11.3 The Journey Continues
        Image Credits
        Bibliography
        Index

Details

Erscheinungsjahr:	2023
Fachbereich:	Grundlagen (Methodik & Statistik)
Genre:	Importe , Psychologie
Rubrik:	Geisteswissenschaften
Medium:	Taschenbuch
Inhalt:	Einband - flex.(Paperback)
ISBN-13:	9780691224145
ISBN-10:	0691224145
Sprache:	Englisch
Einband:	Kartoniert / Broschiert
Autor:	Smaldino, Paul E.
Hersteller:	Princeton University Press
Verantwortliche Person für die EU:	Libri GmbH, Europaallee 1, D-36244 Bad Hersfeld, gpsr@libri.de
Maße:	250 x 177 x 23 mm
Von/Mit:	Paul E. Smaldino
Erscheinungsdatum:	28.11.2023
Gewicht:	0,756 kg