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Logical Creativity Theory (LCT) Updated: Foundations, Algorithms, Applications, and AI

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  • Min Ding

    (Pennsylvania State University)

Abstract

This paper presents an update to Logical Creativity Theory (LCT) [6] that formalizes its three foundational pillars, Continuum, Existence, and Exploration, while refining its system of search algorithms. It emphasizes the importance of using LCT to ask the right questions in its discovery applications, as well as using AI to facilitate part of the discovery process. The revised framework now expands into two broad new application domains. First, LCT is positioned as a strategic decision-making tool that helps individuals and organizations escape local optima, enabling transformative breakthroughs in areas such as corporate strategy, public policy, and beyond. Second, the update demonstrates how LCT can enhance general AI usage by guiding human-AI interactions through optimized prompt formulation, including chain-of-thought instructions. These two new application domains should make LCT a valuable tool for a much larger user base.

Suggested Citation

  • Min Ding, 2025. "Logical Creativity Theory (LCT) Updated: Foundations, Algorithms, Applications, and AI," Customer Needs and Solutions, Springer;Institute for Sustainable Innovation and Growth (iSIG), vol. 12(1), pages 1-11, December.
    • Handle: RePEc:spr:custns:v:12:y:2025:i:1:d:10.1007_s40547-025-00153-w
    DOI: 10.1007/s40547-025-00153-w
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