Abstract
Most models or explanations of the past attempt to integrate a wide array of social and ecological processes while relying on modest amounts of evidence. This makes the validation of such models challenging, especially when explanations apply to wide geographical or chronological contexts, such as the transition to agriculture across Europe. Computational modeling allows for the formalization and testing of conceptual models while allowing other researchers to replicate that research. The formalization and open availability of such models is critical for a better understanding of this transition and large-scale complex processes in the past. We review successful attempts to use computational modeling in archaeology and outline the benefits of using computational models to understand the past.
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Bergin, S., Pardo-Gordó, S. (2021). An Introduction to Simulating Transitions to Agriculture in Prehistory. In: Pardo-Gordó, S., Bergin, S. (eds) Simulating Transitions to Agriculture in Prehistory . Computational Social Sciences(). Springer, Cham. https://doi.org/10.1007/978-3-030-83643-6_1
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