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Problem Decomposition

Problem decomposition is a broad paradigm for breaking down complex challenges into simpler, more manageable sub-problems, making them easier to tackle with less effort. This approach has been extensively explored in both psychology and computer science. In the context of Natural Language Processing, it is a major focus for enhancing the reasoning capabilities of Large Language Models by allowing them to design multi-step reasoning paths to solve complex tasks.

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Updated 2026-09-22

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Ch.3 Prompting - Foundations of Large Language Models

Foundations of Large Language Models

Foundations of Large Language Models Course

Computing Sciences

Psychology @ OpenStax

Ch.7 Thinking and Intelligence - Psychology @ OpenStax

OpenStax

OpenStax Psychology (2nd ed.) Textbook

Psychology

Social Science

Empirical Science

Science

Prep Sessions

AI Agent Oversight: Scoping, Output Interrogation, and Decision Control @ Honor

Ch.1 Task Delegation and Briefing - AI Agent Oversight: Scoping, Output Interrogation, and Decision Control @ Honor

Work Decomposition for Agent Delegation - AI Agent Oversight: Scoping, Output Interrogation, and Decision Control @ Honor

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