1st Edition
Becoming an Agent-Based Modeller Theory and Practice of Building Agent-Based Models in the Social Sciences
I: Conceptualising Agent-based Models 1. Modelling the Social World 2. Building an Agent-based Model 3. Ethics of Agent-Based Modelling; II: Building Agent-based Models 4. Preliminaries 5. Model 1: Model Entities 6. Model 2: Introducing Time and Space 7. Model 3: Agents Making Decisions 8. Model 4: Representing Relationships 9. Models 5-8: Enhancements 10. Bringing it all Together; III: Working with Agent-based Models 11. Turtles on the Move 12. Tricks of the Trade 13. Experiments 14. Is your Model Fit for Purpose? 15. Being an Agent-Based Modeller
Biography
Jennifer Badham is Assistant Professor in Social Data Science in the Department of Sociology at Durham University, UK. She is a computational social scientist, interested particularly in how social structure shapes the transmission of ideas, disease, or behaviour.
Corinna Elsenbroich is Reader in Computational Modelling at the School of Health and Wellbeing at the University of Glasgow, UK. She is a sociologist with a background in philosophy of science, sociology, and complexity social science methods.
