There is a vast literature within philosophy of mind that focuses on artificial intelligence but hardly mentions methodological questions. There is also a growing body of work in philosophy of science about modeling methodology that hardly mentions examples from cognitive science. Here these discussions are connected. Insights developed in the philosophy of science literature about the importance of idealization provide a way of understanding the neural implausibility of connectionist networks. Insights from neurocognitive science illuminate how relevant similarities between models and targets are picked out, how modeling inferences are justified, and the metaphysical status of models.

中文翻译：

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从难以置信的人工神经元到理想化的认知模型：重新启动人工智能哲学

心灵哲学中有大量文献关注人工智能，但几乎没有提到方法论问题。在科学哲学领域，也有越来越多的关于建模方法论的工作几乎没有提到来自认知科学的例子。这些讨论在这里是相互关联的。科学哲学文献中关于理想化重要性的见解提供了一种理解联结网络的神经不可信性的方法。来自神经认知科学的见解阐明了如何挑选模型和目标之间的相关相似性、如何证明建模推论以及模型的形而上学状态。