Typology, Machine Learning, And The Study Of Archaeological Artifacts Science Trends

These findings are described in the article entitled The quantitative assessment of archaeological artifact groups: Beyond geometric morphometrics, recently published in the journal Quaternary Science Reviews. This work was conducted by Norman MacLeod from The Natural History Museum, London, University College London, and the Nanjing Institute of Palaeontology and Stratigraphy, Chinese Academy of Sciences. Archaeology is usually defined as the study of human cultural development through the analysis of materials that have been produced by human cultures in both time and space. While the literature devoted to historically-recorded time dwarves that devoted to prehistory, the pre-historical period encompasses over 99 percent of human history. Almost all our understanding of what humans were like, how they lived, where they lived, and what they accomplished during the overwhelming majority of human history comes from their artifacts ( see Figure 1) along with data from comparatively small, but no less important, collections of their skeletal remains.