What is Skeleton of Thought (SoT)?

Skeleton of Thought (SoT) is an AI reasoning framework that outlines the core structure of a problem before delving into deeper reasoning. It involves identifying key elements and forming a conceptual "skeleton" to guide decision-making. SoT complements models like Chain-of-Thought (CoT) by providing a higher-level framework for problem-solving, ensuring clarity before generating detailed steps. 

Unlike Chain-of-Thought (CoT), which focuses on sequential step-by-step reasoning, and Tree of Thought (ToT), which explores multiple solutions in parallel, SoT emphasizes creating a conceptual roadmap before solving a problem, ensuring a clear and logical structure.

Key Elements of SoT

• Outline first: AI creates a basic problem structure before adding complexity.
• Conceptual clarity: SoT organizes thoughts in a logical framework for better decision-making.

Applications of SoT

• Strategic planning: SoT helps AI structure complex scenarios by outlining high-level components.
• Decision support: In environments like finance or operations, SoT enables AI to map out key variables before diving into detailed analysis.

Impact and Benefits of SoT

• Structured reasoning: SoT ensures that AI tackles problems with a clear conceptual roadmap.
• Efficiency: By organizing thoughts upfront, SoT reduces cognitive overload, allowing AI to handle intricate tasks methodically.

Skeleton of Thought enhances AI's ability to structure complex problems by organizing them into clear conceptual frameworks. It provides a foundational map that guides deeper reasoning processes like CoT, ensuring logical clarity and improving performance in decision-making tasks.