Analogical Thinking

Core principle: Most genuinely hard problems have structural analogues elsewhere — often solved long ago under a different name. Recognize the shape of the problem beneath surface details, then transfer the solution structure.

The ctx harness as OS memory management. Blackboard pattern from speech recognition (1977) re-emerging in multi-agent AI. TCP congestion control inspiring rate-limiting. Evolution as search algorithm.

The risk: false analogies — surface similarity masking structural difference. This skill is as much about knowing when an analogy breaks as when it applies.

Core Process

Step 1: Abstract the Problem Structure

Strip domain vocabulary:

• What needs to coordinate with what?
• What needs to be stored, retrieved, prioritized, transformed, routed?
• What's the flow? What are the constraints?
• What failure modes are you preventing?