From Theory to Protocol: Executable Frameworks for Creative Emergence and Strategic Foresight

TL;DR

This paper introduces two formalized, executable protocols for creative emergence and strategic foresight, translating classical theories into practical, step-by-step procedures with demonstrated effectiveness.

Contribution

It formalizes and evaluates two novel protocols that operationalize classical theories, enabling on-demand creative and strategic insights with measurable quality criteria.

Findings

Protocols produce outputs with greater structural novelty.

Higher parameter specificity in protocol outputs.

Success rate of 87.5% in cross-domain experiments.

Abstract

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.