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.

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.

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.