This paper reconsiders semiotic modelling in light of recent scholarship on Charles Peirce, particularly regarding his concept of proposition. Conceived in the vein of Peirce’s phenomenological categories as well as of his taxonomy of signs, semiotic modelling has mostly been thought of as ascending from simple, basic sign types to complex ones. This constitutes the backbone of most currently accepted semiotic modelling theories and entails the further acceptance of an unexamined a priori coherence between complexity of cognition and complexity of signification. Following recent readings of Peirce’s post-1900 semiotic, we engage in a discussion as to what are the limits of this approach. From Stjernfelt’s conception of the dicisign in nature, we derive a perspective that affords understanding the practice of modelling as a reciprocal interplay between (top-down) decomposition of complexity and (bottom-up) recombination into further complexity. This discussion is facilitated by the recent extrapolation of the (initially) constructivist concept of scaffolding in biosemiotics research. Cognition, we argue, begins with a fundamental irritation of trying to make sense of a structure that is more complex than what can directly be derived from experience and, in so doing, urges meaning-seeking (abductive) processes. The yet unknown object is decomposed into more tangible objects and is subsequently reassembled from these more manageable conceptions of the object. In support of our argument, we discuss the notions of semiotic competences and resources in light of such a naturalized account of meaning-making.

中文翻译：

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模型归化：Peelcean密钥中的新观点

鉴于最近对查尔斯·皮尔斯（Charles Peirce）的研究，特别是关于他的命题概念，本文重新考虑了符号学建模。从皮尔士的现象学类别和符号分类学的角度出发，符号学建模主要被认为从简单的基本符号类型升为复杂的符号类型。这构成了当前最广泛接受的符号学建模理论的骨干，并且需要进一步接受认知的复杂性和指称的复杂性之间的未经检验的先验一致性。在最近阅读了Peirce的1900年后符号学之后，我们就这种方法的局限性进行了讨论。从斯特恩费尔特（Stjernfelt）的自然界中的双数观念出发 我们得出了一个观点，该观点提供了将建模实践理解为复杂度（自上而下）分解和（自下而上）重新组合为进一步复杂性之间的相互影响的方式。最近对生物符号学研究中的（最初）建构主义构架概念的推断促进了这一讨论。我们认为，认知始于一种基本的刺激，即试图弄清一种结构，这种结构比直接从经验中得出的结构要复杂得多，在这种情况下，它敦促寻求意义的（归纳）过程。未知的对象被分解为更明显的对象，随后从这些更易于管理的对象概念中重新组合。为了支持我们的论点，