Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
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The question “What drove foragers to farm?” has drawn answers from many different disciplines, often in the form of verbal models Here, we take one such model, that of the ideal free distribution, and implement it as an agent-based computer simulation Populations distribute themselves according to the marginal quality of different habitats, predicting settlement patterns and subsistence methods over both time and space Our experiments and our analyses thereof show that central conclusions of the ideal free distribution model are reproduced by our agent-based simulation, while at the same time offering new insights into the theory's underlying assumptions Generally, we demonstrate how agent-based models can make use of empirical data to reconstruct realistic environmental and cultural contexts, enabling concrete tests of the explanatory power of anthropological models put forward to explain historical developments, such as agricultural transitions, in specific times and places.