Preprint Open Access
Archaeology, Typology and Machine Epistemology
Gavin Lucas
In this paper, I will explore some of the implications of machine learning for archaeological method and theory. Against a back-drop of the rise of Big Data and the Third Science Revolution, what lessons can be drawn from the use of new digital technologies and computational approaches as they are applied to archaeological typologies? In this paper, I explore two key aspects of these approaches - automation and epistemic novelty – and attempt to unravel their implications for archaeological practice. Furthermore, the paper will situate these topics within developments of the philosophy of science and technology and suggest an alternative way to think about machine learning that draws on re-thinking what we mean by machines and automation.
| Name | Size | |
|---|---|---|
|
typology-book_Lucas chapter.docx
md5:bd615c2dfa0d50c9162c80b1b7c48d8c |
43.8 kB | Download |
|
typology-book_Lucas chapter.pdf
md5:8f4956f6ab31a1a1d7b2e43a2cf594e8 |
215.6 kB | Download |
|
typology-book_Lucas chapter_revised no mark up.docx
md5:82f90c8ab264c1e8e2123fa1124bf40e |
54.5 kB | Download |
|
typology-book_Lucas chapter_revised with track changes.docx
md5:809f0f166d6dc1ab1a5ee33b342b3cac |
67.9 kB | Download |
| All versions | This version | |
|---|---|---|
| Views | 587 | 57 |
| Downloads | 158 | 49 |
| Data volume | 14.6 MB | 9.6 MB |
| Unique views | 508 | 50 |
| Unique downloads | 142 | 44 |
- Publication date:
- October 31, 2022
- DOI:
-
- Keyword(s):
- typology, archaeology, theory, AI
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International