An Introduction to Simulating Transitions to Agriculture in Prehistory

  1. Bergin, Sean 1
  2. Pardo-Gordó, Salvador 2
  1. 1 Arizona State University
    info

    Arizona State University

    Tempe, Estados Unidos

    ROR https://ror.org/03efmqc40

  2. 2 Universidad de La Laguna
    info

    Universidad de La Laguna

    San Cristobal de La Laguna, España

    ROR https://ror.org/01r9z8p25

Libro:
Computational Social Sciences

Editorial: Springer

ISSN: 2509-9574,  2509-9582

ISBN: 9783030836429,  9783030836436

Año de publicación: 2021

Páginas: 1-16

Tipo: Capítulo de Libro

DOI: 10.1007/978-3-030-83643-6_1 GOOGLE SCHOLAR lock_openAcceso abierto editor

Objetivos de desarrollo sostenible

Resumen

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.