AI 中文总结
该研究探讨IIT与QStr的理论关系，提出二者共享研究对象但方法论互补，QStr可补充IIT的窄质性研究与数学工具，IIT或可奠基QStr的外在结构
AI 中文摘要
整合信息理论（Integrated Information Theory, IIT）提出所有质性都是结构：每一种体验的质性都可被表征为现象结构，并被解释为因果结构。IIT方法可被称为内在的，原因在于：其一，它从绝对意义上表征单一体验的内在结构（而非相对于其他体验）；其二，它在以物理术语解释体验时保留这种内在视角。相比之下，质性结构范式（Qualia Structure paradigm, QStr）的方法可被称为外在的，因为其主要工具是关系性表征，用于研究体验的质性及相应的神经或信息结构。本章为IIT的内在方法提供概念澄清，评估QStr与IIT的理论兼容性，并勾勒QStr补充IIT的具体路径。我们认为QStr与IIT均以体验及其结构为解释对象，而二者的方法论起点与解释项虽有差异却互为补充。QStr可通过提供处理窄质性（如颜色）的新路径来强化IIT当前的研究计划，这类窄质性因难以通过内省分解而闻名；QStr还可向IIT提供新的数学工具，例如来自范畴论和度量几何的工具。反过来，IIT或可帮助将QStr的关系性外在结构建立在绝对的内在结构基础上。
英文摘要
Integrated Information Theory (IIT) proposes that all quality is structure: the quality of every experience can be characterized as a phenomenal structure and accounted for as a causal structure. The IIT method can be called intrinsic in that, first, it starts by characterizing the intrinsic structure of a single experience in an absolute sense (not relative to other experiences) and, second, it preserves this intrinsic perspective when accounting for experience in physical terms. By contrast, the method of the Qualia Structure paradigm (QStr) can be called extrinsic in that its main tool is relational characterization, used to investigate both the quality of experience and the corresponding neural or information structures. This chapter gives conceptual clarity to IIT's intrinsic method, assesses the theoretical compatibility between QStr and IIT, and sketches concrete ways QStr can complement IIT. We argue that QStr and IIT share experience and its structure as their explanandum, while their methodological starting points and explanans are distinct yet complementary. QStr can bolster IIT's current research program by offering novel ways to approach narrow qualia (e.g., color), which are notoriously difficult to decompose through introspection. QStr can also supply IIT with new mathematical tools-for example, from category theory and metric geometry. In turn, IIT may help ground QStr's relational, extrinsic structures in absolute, intrinsic structures.
