cs.AI updates on arXiv.org 07月03日
Systemic Constraints of Undecidability
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本文提出系统不可解性理论,将不可计算性视为系统结构属性,而非特定函数或问题的局部特性,并定义因果嵌入概念,证明闭合原则,对预测、建模和知识获取提出新见解。

arXiv:2507.01036v1 Announce Type: cross Abstract: This paper presents a theory of systemic undecidability, reframing incomputability as a structural property of systems rather than a localized feature of specific functions or problems. We define a notion of causal embedding and prove a closure principle: any subsystem that participates functionally in the computation of an undecidable system inherits its undecidability. This result positions undecidability as a pervasive constraint on prediction, modeling, and epistemic access in both natural and artificial systems. Our framework disarms oracle mimicry and challenges the view that computational limits can be circumvented through architectural innovation. By generalizing classical results into a dynamic systems context, this work augments the logical trajectory of G\"odel, Turing, and Chaitin, offering a new perspective of the topology of computability and its interrelation to the boundaries of scientific knowledge.

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系统不可解性 因果嵌入 计算理论
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