SOURCE-LINKED INTELLIGENCE
Carnivores in human settlements: a new and different way to address the Middle Palaeolithic record
ed to different species of wild carnivores: hyenas, lions, bears, wolves, and other smaller carnivores. The results will then be subsequently tested on different Middle Palaeolithic assemblages using Artificial Intelligence through computer techniques based on convolutional neural networks. However, the main aim is to generate cross-sectional data that can be applied to all periods and geographic areas, overcoming the limits of traditional archaeological methods to make accurate inferences about past human behaviour. The results of this project will contribute to the development of a new paradigm, changing some basic ideas about prehistory. There is a risk of generating a huge and unmanageable quantity of variables from neo-taphonomy. However, accumulated information and experience will provide valuable data and information for other areas of knowledge, such as those related to naturalistic studies, animal behaviour, and management of natural resources/parks. Prehistory, Middle Palaeolithic, Hominid-Carnivore interaction, Actualism, Neo-Taphonomy, Deep Learning
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 2454563
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T01:21:06.728Z. This is not the publication date.