Pain Ross, Mann Stephen Francis
Department of Philosophy, Cotham House, University of Bristol, Bristol, BS6 6JL UK.
Department of Linguistic and Cultural Evolution, Max Planck Institute for Evolutionary Anthropology, Deutscher Pl. 6, 04103 Leipzig, Sachsen Germany.
Erkenntnis. 2025;90(6):2523-2547. doi: 10.1007/s10670-024-00819-2. Epub 2024 Jul 1.
We propose a pluralist account of content for predictive processing systems. Our pluralism combines Millikan's teleosemantics with existing structural resemblance accounts. The paper has two goals. First, we outline how a teleosemantic treatment of signal passing in predictive processing systems would work, and how it integrates with structural resemblance accounts. We show that the core explanatory motivations and conceptual machinery of teleosemantics and predictive processing mesh together well. Second, we argue this pluralist approach expands the range of empirical cases to which the predictive processing framework might be successfully applied. This is because our pluralism is . A range of different notions of content are used in the cognitive sciences to explain behaviour, and some of these cases look to employ teleosemantic notions. As a result, our pluralism gives predictive processing the scope to cover these cases.
我们提出了一种关于预测处理系统内容的多元主义解释。我们的多元主义将米利肯的目的论语义学与现有的结构相似性解释相结合。本文有两个目标。首先，我们概述了对预测处理系统中信号传递的目的论语义学处理方式是如何运作的，以及它如何与结构相似性解释相结合。我们表明，目的论语义学和预测处理的核心解释动机及概念机制能很好地契合在一起。其次，我们认为这种多元主义方法扩大了预测处理框架可能成功应用的经验案例范围。这是因为我们的多元主义是……认知科学中使用了一系列不同的内容概念来解释行为，其中一些案例似乎采用了目的论语义学概念。因此，我们的多元主义使预测处理有范围覆盖这些案例。
