Agent-Based Models Fresh From Github!

Feel free to check out these models and play around with the code. I have tried to explain everything as thoroughly as possible in a tutorial format to improve accessibility. The idea is that non-experts in R or modelling should have some idea what every line of code contributes to the model process. You are welcome to innovate on from these models, just cite me if you do so! Open science is the science of the future. This is the way.

All you need to get started:

• R

• RStudio
• Enthusiasm + Wonder

https://github.com/ASESergiou/Models
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Recent commits:

• Masters thesisThis project combines artificial neural networks with agent-based models of cumulative cultural evolution to test Cecilia Heyes' (2019) cognitive gadgets hypothesis., GitHub
• Corrected phrasing, GitHub
• Henrich's Tasmanian Model with Social NetworksFirst draft code up of a social network agent-based model version of Henrich's 2004 Tasmanian formal model published in American Antiquity. This is just an R script with no tutorial or explanation provided. Rmarkdown file coming soon! Also planning on a big 'anthology' Rmarkdown file addressing several variants of this demography model. Then might add some neural network basics, genetic algorithms, cultural learning algorithms etc. Watch this space!, GitHub
• Update population size and cultural evolution.RmdAdded to introduction., GitHub
• Demography modelHere is a model derived from Henrich (2004) regarding the effect of population size on cumulative cultural evolution., GitHub