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E-raamat: Becoming an Agent-Based Modeller: Theory and Practice of Building Agent-Based Models in the Social Sciences

  • Formaat: PDF+DRM
  • Ilmumisaeg: 30-Apr-2026
  • Kirjastus: Routledge
  • Keel: eng
  • ISBN-13: 9781040494639
  • Formaat - PDF+DRM
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Becoming an Agent-Based Modeller: Theory and Practice of Building Agent-Based Models in the Social Sciences
  • Formaat: PDF+DRM
  • Ilmumisaeg: 30-Apr-2026
  • Kirjastus: Routledge
  • Keel: eng
  • ISBN-13: 9781040494639

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Becoming an Agent-based Modeller takes you on a journey, from curiosity about social phenomena to generating them with a computer simulation. The book introduces agent-based modelling as a method to understand societies as complex systems, systems of interconnected, interdependent and interacting agents.

The book is structured like a course rather than a textbook or reference book. The core of the book is an extended tutorial introducing the NetLogo programming language. Using the example of an epidemic, it explores how an agent-based model of social influence, situational awareness, and contextual decisions by individual agents about protective behaviour can help us understand plausible epidemic trajectories. The tutorial demonstrates how to build an agent-based model from scratch and use it in research, including the conceptualisation stage, the operationalisation and implementation, experimentation and interpretation. This practical part of the book is embedded in chapters on theory, epistemology and ethics of agent-based modelling.

With pedagogical tools including key discussion points, illustrations, and highlighted concepts, this is an ideal resource for courses on ABM, and for postgraduate students, and researchers in the social sciences and beyond, who wish to develop their understanding of agent-based modelling.



This book covers the theory and practice of agent-based modelling (ABM) from a novice to intermediate level. Structured to mirror a course, the book takes readers through the full development of an agent-based model, from research question, conceptualisation and design of the model, through to what to do when your model is finished.

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
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.