将创意与战略预见理论转化为可执行流程，提升创新产出的可控性与质量。
From Theory to Protocol: Executable Frameworks for Creative Emergence and Strategic Foresight
- 提出两个五步可操作流程：跨域创意碰撞与信号驱动前瞻。
- 87.5%成功率，盲评显示协议输出显著优于传统头脑风暴。
- 适合需要系统化创新方法的研究者与战略规划人员。
创造力与战略预见虽有诸多描述性理论（如柯斯泰勒的双关联、德·博诺的横向思维、安索夫的弱信号），但缺乏可操作指导。本文提出两个可执行协议：GHOSTY COLLIDER（通过结构去标签与碰撞实现跨域创意涌现）和 PRECOG PROTOCOL（基于多轴时间判断的信号型战略预见）。将经典理论形式化为可重复、带质量标准与反模式检测的步骤流程，具备可测量输出。通过三类评估验证：五个跨领域案例研究、与标准方法的对照实验，以及八组随机领域配对的批量测试（N=8，成功率达87.5%，失败率12.5%），含一次盲评。初步证据表明，协议输出在结构新颖性、参数特异性及创造性方向上均优于传统方法。盲评中协议输出获74/80分，远超头脑风暴的49/80。尽管受限于单人执行，结果仍表明理论到协议的转化能保持甚至增强生成能力。版本2已根据失败案例优化，开源发布于 https://github.com/GhostyAI-HA/ghosty-collider。
原文摘要 · Abstract (English)
Creativity and strategic foresight have been extensively studied through descriptive theories -- Koestler's bisociation (1964), de Bono's lateral thinking (1967), and Ansoff's weak signals (1975) explain why creative and strategic insights occur, but offer limited guidance on how to produce them on demand. This paper presents two executable protocols that bridge this theory-practice gap: GHOSTY COLLIDER, a 5-step protocol for cross-domain creative emergence through structural de-labeling and collision, and PRECOG PROTOCOL, a 5-step protocol for signal-based strategic foresight with multi-axis timing judgment. We formalize established theories into repeatable, step-by-step procedures with explicit quality criteria, anti-pattern detection, and measurable outputs. We evaluate the protocols through three complementary methods: (1) five detailed case studies across distinct domains, (2) controlled comparisons against standard methods using identical inputs, and (3) a batch experiment across eight random domain pairings (N=8, success rate 87.5%, failure rate 12.5%) with one blind evaluation. Preliminary evidence suggests that protocol-driven outputs exhibit greater structural novelty, higher parameter specificity, and qualitatively distinct creative directions compared to outputs from standard methods. The blind evaluation confirmed the direction of author assessments (protocol output scored 74/80 vs. brainstorming 49/80). These results, while limited by single-operator execution, indicate that the theory-to-protocol translation preserves and potentially enhances the generative power of the underlying theories. The protocols, updated to version 2 incorporating lessons from failure case analysis, are released as open-access documents under CC BY-NC 4.0 at https://github.com/GhostyAI-HA/ghosty-collider.
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