Defining what we study: The contribution of machine automation in archaeological research
Abstrak
Abstract In the 21st century, advances in computer science have impacted archaeology, most recently in the development of automated algorithms. Like most technology, these methods have been the source of ongoing debate, particularly in their utility for archaeology. Here, I focus on a contribution of automation and machine learning in archaeology that is often overlooked: the ability of computer algorithms to codify unambiguous, semantically consistent definitions. Archaeology has long struggled with establishing consistent characterizations of the phenomena it studies. As such, I argue that the procedures used for automated methods are useful for archaeologists – even outside of automated analyses – by allowing for the creation of consistent definitions which permit for reproducible research designs.
Topik & Kata Kunci
Penulis (1)
Dylan S. Davis
Akses Cepat
- Tahun Terbit
- 2020
- Bahasa
- en
- Total Sitasi
- 36×
- Sumber Database
- Semantic Scholar
- DOI
- 10.1016/j.daach.2020.e00152
- Akses
- Open Access ✓