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Produktbild: Agent-Based and Individual-Based Modeling

Agent-Based and Individual-Based Modeling A Practical Introduction, Second Edition

74,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

26.03.2019

Verlag

University Presses

Seitenzahl

360

Maße (L/B/H)

25,4/20,4/2,5 cm

Gewicht

839 g

Auflage

2. Auflage

Sprache

Englisch

ISBN

978-0-691-19083-9

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

26.03.2019

Verlag

University Presses

Seitenzahl

360

Maße (L/B/H)

25,4/20,4/2,5 cm

Gewicht

839 g

Auflage

2. Auflage

Sprache

Englisch

ISBN

978-0-691-19083-9

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: GPSR Kontakt

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  • Produktbild: Agent-Based and Individual-Based Modeling

    • Preface
    • Acknowledgments
    • Part I Agent-Based Modeling and NetLogo Basics
      • 1 Models, Agent-Based Models, and the Modeling Cycle
        • 1.1 Introduction, Motivation, and Objectives
        • 1.2 What Is a Model?
        • 1.3 What Does the Modeling Cycle Involve?
        • 1.4 What Is Agent-Based Modeling? How Is It Different?
        • 1.5 Summary and Conclusions
        • 1.6 Exercises
      • 2 Getting Started with NetLogo
        • 2.1 Introduction and Objectives
        • 2.2 A Quick Tour of NetLogo
        • 2.3 A Demonstration Program: Mushroom Hunt
        • 2.4 Summary and Conclusions
        • 2.5 Exercises
      • 3 Describing and Formulating ABMs: The ODD Protocol
        • 3.1 Introduction and Objectives
        • 3.2 What Is ODD and Why Use It?
        • 3.3 The ODD Protocol
        • 3.4 Our First Example: Virtual Corridors of Butterflies
        • 3.5 Summary and Conclusions
        • 3.6 Exercises
      • 4 Implementing a First Agent-Based Model
        • 4.1 Introduction and Objectives
        • 4.2 ODD and NetLogo
        • 4.3 Butterfly Hilltopping: From ODD to NetLogo
        • 4.4 Comments and the Full Program
        • 4.5 Summary and Conclusions
        • 4.6 Exercises
      • 5 From Animations to Science
        • 5.1 Introduction and Objectives
        • 5.2 Observation of Corridors
        • 5.3 Analyzing the Model
        • 5.4 Time-Series Results: Adding Plots and File Output
        • 5.5 A Real Landscape
        • 5.6 Summary and Conclusions
        • 5.7 Exercises
      • 6 Testing Your Program
        • 6.1 Introduction and Objectives
        • 6.2 Common Kinds of Errors
        • 6.3 Techniques for Debugging and Testing NetLogo Programs
        • 6.4 Documentation of Tests
        • 6.5 An Example and Exercise: The Culture Dissemination Model
        • 6.6 Summary and Conclusions
        • 6.7 Exercises
      • Part II Model Design Concepts
        • 7 Introduction to Part II
          • 7.1 Objectives of Part II
          • 7.2 Overview of Part II
        • 8 Emergence
          • 8.1 Introduction and Objectives
          • 8.2 A Model with Less Emergent Dynamics
          • 8.3 Simulation Experiments and BehaviorSpace
          • 8.4 A Model with Complex Emergent Dynamics
          • 8.5 Summary and Conclusions
          • 8.6 Exercises
        • 9 Observation
          • 9.1 Introduction and Objectives
          • 9.2 Observing the Model via NetLogo’s View
          • 9.3 Other Interface Displays
          • 9.4 File Output
          • 9.5 BehaviorSpace as an Output Writer
          • 9.6 Export Primitives and Menu Commands
          • 9.7 Summary and Conclusions
          • 9.8 Exercises
        • 10 Sensing
          • 10.1 Introduction and Objectives
          • 10.2 Who Knows What: The Scope of Variables
          • 10.3 Using Variables of Other Objects
          • 10.4 Putting Sensing to Work: The Business Investor Model
          • 10.5 Summary and Conclusions
          • 10.6 Exercises
        • 11 Adaptive Behavior and Objectives
          • 11.1 Introduction and Objectives
          • 11.2 Identifying and Optimizing Alternatives in NetLogo
          • 11.3 Adaptive Behavior in the Business Investor Model
          • 11.4 Nonoptimizing Adaptive Behavior: A Satisficing Example
          • 11.5 The Objective Function
          • 11.6 Summary and Conclusions
          • 11.7 Exercises
        • 12 Prediction
          • 12.1 Introduction and Objectives
          • 12.2 Example Effects of Prediction: The Business Investor Model’s Time Horizon
          • 12.3 Implementing and Analyzing Submodels
          • 12.4 Analyzing the Investor Utility Function
          • 12.5 Modeling Prediction Explicitly
          • 12.6 Summary and Conclusions
          • 12.7 Exercises
        • 13 Interaction
          • 13.1 Introduction and Objectives
          • 13.2 Programming Interaction in NetLogo
          • 13.3 The Telemarketer Model
          • 13.4 The March of Progress: Global Interaction
          • 13.5 Direct Interaction: Mergers in the Telemarketer Model
          • 13.6 The Customers Fight Back: Remembering Who Called
          • 13.7 Summary and Conclusions
          • 13.8 Exercises
        • 14 Scheduling
          • 14.1 Introduction and Objectives
          • 14.2 Modeling Time in NetLogo
          • 14.3 Summary and Conclusions
          • 14.4 Exercises
        • 15 Stochasticity
          • 15.1 Introduction and Objectives
          • 15.2 Stochasticity in ABMs
          • 15.3 Pseudorandom Number Generation in NetLogo
          • 15.4 An Example Stochastic Process: Empirical Model of Behavior
          • 15.5 Summary and Conclusions
          • 15.6 Exercises
        • 16 Collectives
          • 16.1 Introduction and Objectives
          • 16.2 What Are Collectives?
          • 16.3 Modeling Collectives in NetLogo
          • 16.4 Example: A Wild Dog Model with Packs
          • 16.5 Summary and Conclusions
          • 16.6 Exercises
        • Part III Pattern-Oriented Modeling
          • 17 Introduction to Part III
            • 17.1 Toward Structurally Realistic Models
            • 17.2 Single and Multiple, Strong and Weak Patterns
            • 17.3 Overview of Part III
          • 18 Patterns for Model Structure
            • 18.1 Introduction and Objectives
            • 18.2 Steps in POM to Design Model Structure
            • 18.3 Example: Modeling European Beech Forests
            • 18.4 Example: Management Accounting and Collusion
            • 18.5 Summary and Conclusions
            • 18.6 Exercises
          • 19 Theory Development
            • 19.1 Introduction and Objectives
            • 19.2 Theory Development and Strong Inference in the Virtual Laboratory
            • 19.3 Examples of Theory Development for ABMs
            • 19.4 Exercise Example: Stay or Leave?
            • 19.5 Summary and Conclusions
            • 19.6 Exercises
          • 20 Parameterization and Calibration
            • 20.1 Introduction and Objectives
            • 20.2 Parameterization of ABMs Is Different
            • 20.3 Parameterizing Submodels
            • 20.4 Calibration Concepts and Strategies
            • 20.5 Example: Calibration of the Woodhoopoe Model
            • 20.6 Summary and Conclusions
            • 20.7 Exercises
          • Part IV Model Analysis
            • 21 Introduction to Part IV
              • 21.1 Objectives of Part IV
              • 21.2 Overview of Part IV
            • 22 Analyzing and Understanding ABMs
              • 22.1 Introduction and Objectives
              • 22.2 Example Analysis: The Segregation Model
              • 22.3 Additional Heuristics for Understanding ABMs
              • 22.4 Statistics for Understanding
              • 22.5 Summary and Conclusions
              • 22.6 Exercises
            • 23 Sensitivity, Uncertainty, and Robustness Analysis
              • 23.1 Introduction and Objectives
              • 23.2 Sensitivity Analysis
              • 23.3 Uncertainty Analysis
              • 23.4 Robustness Analysis
              • 23.5 Summary and Conclusions
              • 23.6 Exercises
            • 24 Where to Go from Here
              • 24.1 Introduction and Objectives
              • 24.2 Keeping Your Momentum: Reimplementation
              • 24.3 Your First Model from Scratch
              • 24.4 Modeling Agent Behavior
              • 24.5 ABM Gadgets
              • 24.6 NetLogo as a Platform for Large Models
              • 24.7 An Odd Farewell
            • References
            • Index
              • Index of Programming Notes