神经语言模型在大脑语言处理中的模拟作用

IF 0.6 Q2 HISTORY & PHILOSOPHY OF SCIENCE Philosophies Pub Date : 2024-08-29 DOI:10.3390/philosophies9050137
Nicola Angius, Pietro Perconti, Alessio Plebe, Alessandro Acciai
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引用次数: 0

摘要

本文对最近使用神经语言模型模拟大脑语言处理过程的做法进行了认识论和方法论分析。本文认为,一方面,这种做法可以被理解为人工智能领域传统模拟方法的一个实例,遵循了对思维的机械理解;另一方面,这种做法对模拟方法进行了重大修改。首先介绍神经语言模型;然后介绍一个研究案例,说明神经语言模型如何在认知神经科学中用于模拟目的;在回顾了人工智能模拟方法的主要认识论特征之后,最后强调了如何通过使用大脑本身来模拟神经语言模型并检验有关假设(这里称之为协同模拟),从而解决神经语言模型的认识论不透明性问题。
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The Simulative Role of Neural Language Models in Brain Language Processing
This paper provides an epistemological and methodological analysis of the recent practice of using neural language models to simulate brain language processing. It is argued that, on the one hand, this practice can be understood as an instance of the traditional simulative method in artificial intelligence, following a mechanistic understanding of the mind; on the other hand, that it modifies the simulative method significantly. Firstly, neural language models are introduced; a study case showing how neural language models are being applied in cognitive neuroscience for simulative purposes is then presented; after recalling the main epistemological features of the simulative method in artificial intelligence, it is finally highlighted how the epistemic opacity of neural language models is tackled by using the brain itself to simulate the neural language model and to test hypotheses about it, in what is called here a co-simulation.
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来源期刊
Philosophies
Philosophies Multiple-
CiteScore
1.30
自引率
11.10%
发文量
122
审稿时长
11 weeks
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