标题： UAP逆向工程的计算复杂性：自动机识别和数据复杂性的形式分析 显示英文标题

标题： Computational Complexity of UAP Reverse Engineering: A Formal Analysis of Automaton Identification and Data Complexity

摘要： 本白皮书证明，在经典计算范式下，逆向工程 unidentified aerial 现象 (UAP) 是 NP 完整的。通过将 UAP 重构建模为具有状态特征矩阵 M(D, T, E) 的自动机识别问题，并检查数据收集固有的挑战以及未知物理，我们表明从有限的观测数据推断内部机制（如同位素工程技术或非常规推进系统）在计算上是难以处理的。 数据 D 包括操作上不可再现的观察数据和声称的坠毁回收中的可再现分析数据，本质上仍然是碎片化的。 即使 UAP 观测结果是可再现的，缺乏全面的理论框架也确保了逆向工程仍然是 NP 完整的，并且可能会升级到 PSPACE 难题，或者成为一个 Entscheidungsproblem。 这种难以处理性对当前的 UAP 逆向工程工作提出了挑战，并对 UAP 技术的透明度及相关风险投资有着深远的影响。 因此，UAP 对于尼安德特人手中的现代智能手机来说是类似的。 显示英文摘要

摘要： This white paper demonstrates that reverse engineering Unidentified Aerial Phenomena (UAP) is NP-complete under classical computational paradigms. By modeling UAP reconstruction as an automaton identification problem with a state characterization matrix M(D, T, E) and examining the inherent challenges in data gathering as well as unknown physics, we show that inferring internal mechanisms (such as Isotopically-Engineered-Materials or unconventional propulsion systems) from finite observational data is computationally intractable. Data D, comprising both operational non-reproducible observations and reproducible analysis data from purported crash retrievals, remains inherently fragmentary. Even if UAP observables were reproducible, the absence of a comprehensive theoretical framework ensures that reverse engineering remains NP-complete, and may escalate to PSPACE-hard or to an Entscheidungsproblem. This intractability challenges current UAP reverse engineering efforts and has profound implications for transparency on UAP technology and related venture investments. Hence, UAP are as analogous to modern smartphones in the hands of Neanderthals.