使用彼得里网测量古代技术复杂性及其认知影响
Sebastian Fajardo1, Paul R B Kozowyk2, Geeske H J Langejans2,3
1Department of Materials Science and Engineering, Delft University of Technology, 2628 CD, Delft, Zuid-Holland, The Netherlands. s.d.fajardobernal@tudelft.nl.
Scientific reports
|September 22, 2023
概括
计算机科学方法揭示尼安德特人的认知可能反映现代人类. 对焦油生产的培养网分析表明,古石器时代考古学中存在复杂的认知能力.
科学领域:
- 考古学的考古学
- 认知科学 认知科学
- 计算机科学 计算机科学
背景情况:
- 从古石器物质文化推断认知差异是具有挑战性的.
- 复杂的古代技术往往与复杂的认知有关.
研究的目的:
- 应用计算机科学方法,通过物质文化分析尼安德特人的认知.
- 使用彼得里网分析比较尼安德特人焦油生产技术,并评估认知需求.
主要方法:
- 使用彼得里网建模尼安德特人的焦油生产技术.
- 将三个不同的复杂度指标应用于模拟的生产流程.
主要成果:
- 尼安德特人的技术认知似乎与当代现代人类相似.
- 该方法区分了不同古代技术所需的高阶认知功能 (规划,抑制控制,学习).
结论:
- 培养网分析为理解技术和认知进化提供了一种新的方法.
- 这种方法适用于各种材料,技术,时间段和物种.
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