▶️ Practical, hands-on tutorials designed for not-computational folk.
▶️ Algorithmic zoo, with all the most common ways to model, well, everything.
▶️ GIS, Networks and Data Science chapters.
The goal was to get archaeologists from zero to hero in #ABM with the least effort required.
All chapter have been extensively tested on students, workshop goers and colleagues.
You can do it even if you're not particularly computational in your research!
The list of people who helped us is IMMENSE.
So I'll start with saying that all examples given are from papers published by archaeological modellers.
They're fantastic about sharing their code online 👏👏👏so the book is one ginormous replication of archaeological models!
This is at the core of modelling - building up knowledge in cumulative fashion and we hope that this book will contribute to this process!
And now, download #NetLogo and get the turtles going!
🐢🐢🐢
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Thread: there was a pretty impressive backlash against today's long read in the guardian about the idea that by studying large, long term trends in human history one may identify patterns in human societies. Patterns that may hold for the future. 1/
I'm highly enthusiastic about this idea (and especially the formal modelling element). In particular, I see it as a counterbalance against history as "one damn thing after another". I thought it may be interesting to debate some of the criticisms I saw today and in the past.
"The data is just not good enough". Sure its highly fragmented and biased in many ways. I'm not buying this one unless someone formally demonstrates it. Even with just one thermometer taking measurements once a week for a year you could show the existence of seasons in Europe.