强加与寻找团结的对比
Andrew Richmond1, Jonathan G Bowen1, Lucas Firas Kayssi2
1Rotman Institute of Philosophy, Western University, London, Canada.
Cognitive neuroscience
|September 26, 2024
概括
嵌入式认知神经科学不仅仅依赖于机械解释. 一些拟议的体现认知神经科学范式是明确的非机械,挑战统一的方法.
科学领域:
- 认知神经科学 认知神经科学
- 科学哲学的哲学科学哲学
背景情况:
- 目标文章认为,体现的认知神经科学 (ECN) 趋于一种机理主义的解释方法.
- 这种观点建议在ECN中建立一个统一的解释框架.
研究的目的:
- 批判性地评估关于体现认知神经科学 (ECN) 正在趋向机械主义方法的说法.
- 为了证明ECN不仅仅采用机械解释.
主要方法:
- 在目标文章中提出的理论论据的分析.
- 在体现认知神经科学中检查选定的范式.
- 机械主义与非机械主义或反机械主义解释策略的比较评估.
主要成果:
- 该研究反对ECN在纯粹机械方法上的融合.
- 证据表明,一些ECN范式是明确非机械的.
- 这凸显了该领域内解释策略的分歧.
结论:
- 嵌入式认知神经科学 (ECN) 没有表现出对机械解释的独特趋同.
- 解释方法的多样性,包括非机械方法,是ECN的一个关键特征.
- 需要对ECN的解释性格局有细微的了解.
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