Simulating Social Complexity

A Handbook

Inbunden, Engelska, 2017

5 029 kr

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What makes this "social" is that it can represent an observed society.Social systems include all those systems where the components have individual agency but also interact with each other.

Produktinformation

Utgivningsdatum2017-12-11
Mått155 x 235 x 51 mm
Vikt1 420 g
FormatInbunden
SpråkEngelska
SerieUnderstanding Complex Systems
Antal sidor838
Upplaga2
FörlagSpringer International Publishing AG
ISBN9783319669472

Tillhör följande kategorier

Sociologi inom Samhalle och politik
Referensverk och tvärvetenskap inom Samhalle och politik
Optimering inom Naturvetenskap och teknik
Biovetenskap inom Naturvetenskap och teknik
Tillämpad datateknik inom Data och it
Systemvetenskap och AI inom Data och it

Among his numerous responsibilities, Dr. Bruce Edmonds is the Director for the Centre of Policy Modeling at Manchester Metropolitan University. He has edited numerous books for Springer; he's a member of the Dalton Research Institute and a board member for the European Complex Systems Society.Ruth Meyer is also a former Springer book editor. She's a Research Associate at the Center of Policy Modeling at Manchester Metropolitan University. Among others, her research interests lie in agent-based simulation and discrete-event simulation.

Part1. Introduction.- Chapter1. Introduction.- Chapter2. Historical Introduction.- Chapter3. Types of Simulation.- Chapter4. Different Modelling Purposes.- Part2. Methodology.- Chapter5. Informal Approaches to Developing Simulations.- Chapter6. Applying software engineering methods to simulation development.- Chapter6. Checking Simulations.- Chapter7. Verifying and Validating simulations.- Chapter8. Understanding Simulation Results.- Chapter9. How many runs should one do .- Chapter10. Participatory Approaches.- Chapter11. Combining Analytic and Simulation Approaches.- Chapter12. Interpreting and Understanding Simulations.- Chapter13. Documenting Social Simulation Models: The ODD Protocol as a Standard.- Part3. Mechanisms.- Chapter14. Utility, Games, and Narratives.- Chapter15. Social Constraint.- Chapter16. Reputation.- Chapter17. Social Networks and Spatial Distribution.- Chapter18. Learning.- Chapter19. Evolutionary Mechanisms.- Part4. Applications.- Chapter20.Agent-based Modelling and Simulation Applied to Environmental Management.- Chapter21. Distributed Computer Systems.- Chapter22. Simulating Complexity of Animal Social Behaviour.- Chapter23. Agent-based Simulation as a Useful Tool for the Study of Markets.- Chapter24. Movement of People and Goods.- Chapter25. Modeling Power and Authority: An Emergentist View from Afghanistan.- Chapter26. Human Societies – Understanding Observed Social Phenomena.- Chapter27. Some pitfalls to beware when applying models to issues of policy relevance.