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回到未来:认知功能主义的回归。

Back to the future: The return of cognitive functionalism.

机构信息

Psychology Department,Rutgers University Brain Imaging Center (RUBIC),Rutgers University,Newark,NJ

出版信息

Behav Brain Sci. 2017 Jan;40:e257. doi: 10.1017/S0140525X17000061.

DOI:10.1017/S0140525X17000061
PMID:29342686
Abstract

The claims that learning systems must build causal models and provide explanations of their inferences are not new, and advocate a cognitive functionalism for artificial intelligence. This view conflates the relationships between implicit and explicit knowledge representation. We present recent evidence that neural networks do engage in model building, which is implicit, and cannot be dissociated from the learning process.

摘要

声称学习系统必须构建因果模型并对其推理提供解释并不是什么新鲜事,这也提倡了人工智能的认知功能主义。这种观点混淆了内隐和外显知识表示之间的关系。我们提出了最近的证据表明,神经网络确实参与了模型构建,这种构建是内隐的,并且不能与学习过程分离。

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